Publications

2017

• A Rudkouskaya, N Sinsuebphon, J Ward, K Tubbesing, X Intes, M Barroso, “Quantitative Imaging of Receptor-Ligand Engagement in Intact Live Animals,” bioRxiv 228072 (2017)
• R Yao, M Ochoa, X Intes, P Yan, “Deep Compressive Macroscopic Fluorescence Lifetime Imaging,” arXiv preprint arXiv:1711.06187 (2017)
• W Cong, X Intes, G Wang, “Reconstruction of optical parameters for molecular tomographic imaging,” arXiv preprint arXiv:1707.01197 (2017)
• W. Cong, X Intes and G Wang, “Optical Tomographic Imaging for Breast Cancer Detection,” arXiv preprint arXiv:1704.04826 (2017)
• F Yang, M Ozturk, R Yao and X Intes, “Improving Mesoscopic Fluorescence Molecular Tomography Computational Efficiency through Data Reduction,” Biomedical Optics Express 8(8), 3868-3881 (2017).
• F Long and X Intes, “Dental optical tomography with upconversion nanoparticles -- a feasibility study,” Journal of Biomedical Optics 22(6), 066001 (2017).
• Q Pian, R Yao, N Sinsuebphon, X Intes, “Compressive Hyperspectral Time-resolved Wide-Field Fluorescence Lifetime Imaging,” Nature Photonics (2017).
• W Han, F Long, W Cong, X Intes and Ge Wang, “Radiative transfer with delta-Eddington-type phase functions,” Applied Mathematics and Computation 300, 70-78 (2017).

2016

• F Long, F Li, X Intes and S Kotha, “Efficient optical radiative transfer equation modeling by streamline diffusion modified continuous Galerkin method,” Journal of Biomedical Optics 21(3), 036003 (2016) .
• R Yao, X Intes and Q fang, “Generalized Mesh-based Monte Carlo for Wide-field Sources and Detectors via Mesh Retesselation,” Biomedical Optics Express 7(1), 171-184 (2016).
• M Ozturk, CW Chen, R Ji, L Zhao, BN Nguyen, J Fisher, Y Chen and X Intes, “Mesoscopic Fluorescence Molecular Tomography for Evaluating Engineered Tissues,” Annals of Biomedical Engineering, Vol.44, No.3, March 2016.

2015

• T Omer, X Intes, and J Hahn, “Temporal data set reduction based on D-optimality for quantitative FLIM-FRET imaging,” PLOS One, PLoS ONE 10(12): e0144421. doi: 10.1371/journal.pone.0144421.
• R Yao, P Qi and X Intes, “Wide-Field Fluorescence Molecular Tomography with Compressive Sensing based Preconditioning,” Biomedical Optics Express 6(12), 4887-4898 (2015).
• Sez-Jade Chen, Nattawut Sinsuebphon and Xavier Intes, “Assessment of Gate Width Size on Lifetime-Based Förster Resonance Energy Transfer Parameter Estimation.” Photonics 2015, 2(4), 1027-1042.
• Edmans, Andrew and Xavier Intes, “Mesh Optimization for Monte Carlo-Based Optical Tomography.” Photonics 2015, 2(2), 375-391.
• Q Pian, R Yao, L Zhao and X Intes, “Hyperspectral time-resolved wide-field fluorescence molecular tomography based on structured light and single-pixel detection” Optics Letters, Vol. 40, Issue 3, pp. 431-434 (2015)
• F Yang, M Ozturk, L Zhao, W Cong, G Wang and X Intes, “High-resolution mesoscopic fluorescence molecular tomography based on compressive sensing,” IEEE Biomedical Engineering, 62(1), 248 – 255 (2015).

2014

• S Rajoria, L Zhao, X Intes and M Barroso, “FLIM-FRET for cancer application”, Current Molecular Imaging, in press (2014).
• Q Pian, C Wang, W Cong, G Wang and X Intes, “Multimodal Biomedical Optical Imaging Review: Towards Comprehensive Investigation of Biological Tissues,” Current Molecular Imaging, in press (2014).
• G Omer, L Zhao, X Intes and J Hanh, “Reduced temporal sampling effect on accuracy of time-domain fluorescence lifetime Förster resonance energy transfer,” Journal of Biomedical Optics 19(8), 086023 (2014).
• L Zhao, H Yang, W Cong, G Wang and X Intes, “Lp Regularization for Early Time-Gate Fluorescence Molecular Tomography,” Optics Letters 39(14), 4156-4159 (2014).
• Lingling Zhao, Ken Abe, Shilpi Rajoria, Qi Pian, Margarida Barroso, and Xavier Intes, “Spatial light modulator based active wide-field illumination for ex vivo and in vivo quantitative NIR FRET imaging”, Biomedical Optics Express, Vol. 5, Issue 3, pp. 944-960 (2014).
• Mehmet S. Ozturk, Daniel Rohrbach, Ulas Sunar, Xavier Intes, “Mesoscopic Fluorescence Tomography of a Photosensitizer (HPPH) 3D Biodistribution in Skin Cancer,” Academic Radiology 21(2) 2014,271-280.

2013

• K Abe, L Zhao, A Periasamy, X Intes and M Barroso,“Non-Invasive In Vivo Imaging of Near Infrared-labeled Transferrin in Breast Cancer Cells and Tumors Using Fluorescene Lifetime FRET,” PLoS ONE 8(11): e80269. doi:10.1371/journal.pone.0080269
• M Ozturk, L Zhao, V Lee, G Dai and X Intes,“Mesoscopic fluorescence molecular tomography of reporter genes in bio printed thick tissue,” Journal of Biomedical Optics, 18 (10), 100501 (October 03, 2013).
• L Zhao, K Abe, M Barroso and X Intes,“Active wide-field illumination for high-throughput fluorescence lifetime imaging,” Optics Letters 38(20), 3976-3979 (2013).
• X Intes,“Guiding Light,” International Innovation , 9, 68-70 (2013).
• V Venugopal and X Intes, “Adaptive Wide-field Optical Tomography,” Journal of Biomedical Optics 18(3), 036006 (2013).

2012

• V Venugopal, J Chen, M Barrosso and X Intes, “Quantitative tomographic imaging of intermolecular FRET in small animals,” Biomedical Optics Express 3(12), 3161-3175 (2012).
• J Chen, Q Fang and X Intes, “Mesh-based Monte Carlo method in time-domain widefield fluorescence molecular tomography,” Journal of Biomedical Optics 17(10), 106009 (2012).
• M Pimpalkhare, J Chen, V Venugopal and X Intes, “Ex Vivo Fluorescence Molecular Tomography of the Spine,” International Journal of Biomedical Imaging, in press (2012).
• L Zhao, V Lee, G Dai and X Intes, “The integration of 3-D cell printing and mesoscopic fluorescence molecular tomography of vascular constructs within thick hydrogel scaffolds,” Biomaterials 33 (21), 5325-5332 (2012).
• V Venugopal and X Intes, “Recent advances in optical mammography,” Current Medical Imaging Reviews 8(4), 244-259 (2012).

2011

• J Chen, V Venugopal and X Intes, “A Monte Carlo based method for fluorescence tomographic imaging with lifetime multiplexing using time gates,” Biomedical Optics Express 2, 871-886 (2011).
• X Intes and Fred S Azar, “Advances in optical mammography,” in Advanced Optical Imaging Technologies for Clinical Medicine, Editors N Iftimia, W Brugge, D Hammer, Wiley &Sons, Chapter 11: 307-336 (2011).
• J Chen and X Intes, “Comparison of Monte Carlo Methods for Fluorescence Molecular Tomography – Computational Efficiency,” Medical Physics 38 (10), 5788-5798 (2011).

2010

• S Belanger, M Abran, X Intes, C Casanova and F Lesage, “Real-time diffuse optical tomography based on structured illumination,” Journal of Biomedical Optics 15, 016006 (2010).
• J Chen, V Venugopal, F Lesage and X Intes, “Time Resolved Diffuse Optical Tomography with patterned light illumination and detection,” Optics Letters 35, 2121-2123 (2010).
• V Venugopal, J Chen and X Intes, “Development of an optical imaging platform for functional imaging of small animals using wide-field excitation,” Biomedical Optics Express 1, 143-156 (2010).
• RA Waniewski, X Intes, V Venugopal, et al., “Development of Procedures for Bioimaging Rodents using Fluorescence Molecular Tomography, Magnetic Resonance Imaging, and Microscale, Computed X-Ray Tomography,” Journal of the American Association for Laboratory Animal Science 49, 730-730 (2010).
• V Venugopal, J Chen , F Lesage and X Intes, “Full-field time-resolved fluorescence tomography of small animals,” Optics Letters 35, 3189-3191 (2010).

2009

• J Chen and X Intes, “Time-gated perturbation Monte Carlo for whole body functional imaging in small animals,” Optics Express 17, 19566-19579 (2009).

2008

• B. Alacam, B. Yazici, X. Intes and B. Chance, “Pharmacokinetic-rate images of indocyanine green for breast tumors using near-infrared optical methods,” Phys. Med. Biol. 53, 837-859 (2008).
• X Intes and F S Azar, “Introduction to Clinical Optical Imaging,” in Translational Multimodality Optical Imaging, Editors F. Azar and X. Intes, Chapter 1: 1-19 (2008).

2007

• M. Guven, E. Giladi, B. Yazici, K. Kwon and X. Intes, “Effect of discretization error and adaptive mesh generation in diffuse optical absorption imaging: Part I,” Inverse Problem 23, 1115-1133 (2007).
• M. Guven, E. Giladi, B. Yazici, K. Kwon and X. Intes, “Effect of discretization error and adaptive mesh generation in diffuse optical absorption imaging: Part II,” Inverse Problems 23, 1133-1160 (2007). 

Our journal library is divided into four sections: Axiomatic Research, Bioluminenscence Tomography, Computed Tomography and Diversified Work.

More than 300 peer-reviewed journal papers and many other articles since 1992 (of which 40 in IEEE journals, 1 in PRL, 1 Letter on interior tomography in PNAS, and 1 Communication on coherent X-ray tomography in Nature and reported in Nature’s In Focus News. By isiknowledge.com, h-index ≥35 on 2/1/12 with Author =(Wang G) & Address = (Buffalo or St. Louis or Iowa City or Blacksburg) & Topic=(Tomography))

Axiomatic Research

1. PDF Wang G, Li Y: Axiomatic approach for quantification of image resolution. IEEE Signal Processing Letters 6:257-258, 1999
2. PDF O’Sullivan JA, Jiang M, Ma XM, Wang G: Axiomatic quantification of multi-dimensional image resolution. IEEE Signal Processing Letters 9:120-122, 2002
3. PDF Meinel Jr. JF, Wang G, Jiang M, Frei T, Vannier MW, Hoffman EA: Spatial variation of resolution and noise in multi-slice spiral CT. Academic Radiology 10:607-613, 2003
4. PDF Wang G, Jiang M: Axiomatic characterization of nonlinear homomorphic means. Journal of Mathematical Analysis and Applications 303:350-363, 2005
5. PDF Jiang M, Wang G, Ma XM: A general axiomatic system for image resolution quantification. Journal of Mathematical Analysis and Applications 315:462-473, 2006
6. PDF Wang G, Yang J: Axiomatic quantification of co-authors’ relative contributions. arXiv:1003.3362v1, 2010
7. PDF Yang JS, Vannier MW, Wang F, Deng Y, Ou FR, Bennett JR, Liu Y, Wang G: A bibliometric analysis of academic publication and NIH funding. Journal of Informetrics 7:318-324, 2013 (Yang JS, Vannier MW, Wang F, Deng Y, Ou FR, Bennett JR, Liu Y, Wang G: Scientific productivity, research funding, race and ethnicity. ArXiv 1112.3944v1, http://arxiv.org/abs/1112.3944, 2011). This work inspired further investigations, and was reported by major media (Science: http://news.sciencemag.org/scienceinsider/2013/02/new-analysis-challenge... Nature: News Blogs: http://blogs.nature.com/news/2013/02/study-disputes-racial-bias-in-nih-g... Seven Days News in Brief: Nature 494:11, Feb. 7, 2013)
8. Stallings J, Vance E, Yang JS, Vannier MW, Liang J, Pang L, Dai L, Ye I, Wang G: Determining scientific impact using a collaboration index. PNAS 110:9680-9685, 2013

Bioluminescence/Fluorescence/Luminescence Tomography

1. PDF Cong WX, Wang LH, Wang G: Formulation of photon diffusion from spherical bioluminescent sources in an infinite homogeneous medium. Biomedical Engineering Online 3:12, 2004
2. PDF Wang G, Li Y, Jiang M: Uniqueness theorems in bioluminescence tomography. Medical Physics 31:2289-2299, 2004
3. PDF Li H, Tian J, Zhu FP, Cong WX, Wang LV, Hoffman EA, Wang G: A mouse optical simulation environment (MOSE) to investigate bioluminescent phenomena with the Monte Carlo method. Academic Radiology 11:1029-1038, 2004
4. PDF Li H, Tian J, Wang G: A Monte Carlo method based photon transport model for in vivo biological optical imaging. Journal of Software 15:1709-1719, 2004
5. PDF Wang G, Jaszczak R, Basilion J: Towards molecular imaging. IEEE Transaction on Medical Imaging 24:829-831, 2005
6. PDF Cong WX, Wang G: Kumar D, Liu Y, Jiang M, Wang LH, Hoffman EA, McLennan G, McCray PB, Zabner J, Cong A: Practical reconstruction method for bioluminescence tomography. Optics Express 13:6756-6771, 2005
7. PDF Wang G, Li Y, Jiang M: Erratum to Uniqueness theorems in bioluminescence tomography (Medical Physics, Vol. 31, No. 8, pp. 2289 – 2299, 2004). Medical Physics 32:3059, 2005
8. PDF Li Y, Jiang M, Wang G: Computational optical biopsy. Biomedical Engineering Online 4:36, 2005
9. PDF Cong A, Wang G: A finite-element-based reconstruction method for 3D fluorescence tomography. Optics Express 13:9847-9857, 2005
10. PDF Cong A, Wang G: Multi-spectral bioluminescence tomography: Methodology and simulation. International Journal of Biomedical Imaging 2006: Article ID 57614, 7 pgs, 2006
11. PDF Cong WX, Wang G: Boundary integral method for bioluminescence tomography. Journal of Biomedical Optics 11:020503, 3 pgs, 2006
12. PDF Cong WX, Kumar D, Wang LV, Wang G: A Born-type approximation method for bioluminescence tomography. Medical Physics 33:679-686, 2006
13. PDF Han WM, Cong WX, Wang G: Mathematical theory and numerical analysis of bioluminescence tomography. Inverse Problems 22:1659-1675, 2006
14. PDF Wang G, Cong WX, Kumar D, Qian X, Shen H, Sinn P, Hoffman E, McLennan G, Henry M: In vivo mouse studies with bioluminescence tomography. Optics Express 14:7801-7809, 2006
15. PDF Wang G, Shen HO, Cong WX, Zhao S, Wei GW: Temperature-modulated bioluminescence tomography. Optics Express 14:7852-7871, 2006
16. PDF Wang G, Shen H, Kumar D, Qian X, Cong WX: The first bioluminescence tomography system for simultaneous acquisition of multi-view and multi-spectral data. International Journal of Biomedical Imaging 2006, Article ID 58601, 8 pgs, 2006
17. PDF Han WM, Cong WX, Wang G: Mathematical study and numerical simulation of multispectral bioluminescence tomography. International Journal of Biomedical Imaging International Journal of Biomedical Imaging 2006, Article ID 54390, 10 pgs, 2006
18. PDF Wang G, Qian X, Cong WX, Shen H, Li Y, Han WM, Durairaj K, Jiang M, Zhou T, Cheng J, Tian J, Lv Y, Li H, Luo J: Recent development in bioluminescence tomography. Current Medical Imaging Reviews 2:453-457, 2006
19. PDF Lv YJ, Tian J, Cong WX, Wang G, Luo J, Yang W, Shi J, Li H: A multilevel adaptive finite element algorithm for bioluminescence tomography. Optics Express 14:8211-8223, 2006
20. PDF Han WM, Wang G: Theoretical and numerical analysis on multispectral bioluminescence tomography. IMA Journal of Applied Mathematics 72:1-19, 2006
21. PDF Kumar D, Cong WX, Wang G: A Monte-Carlo method for bioluminescence tomography. Indian Journal of Experimental Biology 45:58-63, 2007
22. PDF Shen HO, Cong WX, Qian X, Durairaj K, Wang G: A numerical study on validity of the diffusion approximation for computational optical biopsy. JOSA A, Vol. 24, Issue 2, pp. 423-429, 2007
23. PDF Han, W, Kazmi K, Cong WX, Wang G: Bioluminescence tomography with optimized optical parameters. Inverse Problems 23: 1215–1228, 2007
24. PDF Li H, Tian J, Luo J, Lu Y, Cong W, Wang G: Design and implementation of an optical simulation environment for bioluminescent tomography studies. Progress in Natural Science 17:87-94, 2007
25. PDF Lv Y, Tian J, Cong W, Wang G, Yang W, Qin C, Xu M: Spectrally resolved bioluminescence tomography with adaptive finite element: methodology and simulation.  Physics in Medicine and Biology 52:4497-4512, 2007
26. PDF Cong A, Shen HO, Cong WX, Wang G: Improving the accuracy of the diffusion model in highly absorbing media. International Journal of Biomedical Imaging 2007: Article ID 38168, 6 pgs, 2007
27. PDF Jiang M, Zhou T, Cheng J, Cong W, Wang G: Image reconstruction for bioluminescence tomography from partial measurement. Optics Express, 15:11095-11116, 2007
28. PDF Cong W, Cong A, Shen H, Liu Y, Wang G: Flux vector formulation for photon propagation in the bilogical tissue. Optics Letters 32:2837-2839, 2007
29. PDF Cong W, Shen H, Cong A, Wang Y, and Wang G: Modeling photon propagation in biological tissues using generalized Delta-Eddington phase function. Physical Review E 76:051913, 5 pgs, 2007
30. PDF Wang G, Cong WX, Shen H, Qian X, Henry M, Wang Y: Overview of bioluminescence tomography-a new molecular imaging modality. Frontiers in Bioscience, 13:1281-93, 2008
31. PDF Wang G, Shen H, Liu Y, Cong A, Cong W, Wang Y, and Dubey P: Digital spectral separation methods and systems for bioluminescence imaging. Optical Express, 16:1719-1732, 2008.
32. PDF Han W, Wang G: Bioluminescence tomography: Biomedical background, mathematical theory, and numerical approximation. J. Computational Mathematics, 26:324-335, 2008 [PMCID: PMC2898173]
33. PDF Cong W, Shen H, Cong A, Wang G: Integral equations of the photon fluence rate and flux based on a generalized Delta-Eddington phase function. Journal of Biomedical Optics, 13:Article ID 024016, 2008 [PMCID: PMC2718535]
34. PDF Chen D, Wei G, Cong W, Wang G: Computational methods for optical molecular imaging. Communications in Numerical Methods in Engineering, Volume 25 Issue 12, pp. 1137 – 1161, 2008 [PMCID: PMC2871344]
35. PDF Lv YJ, Tian J, Cong W, Wang G: Experimental bioluminescence tomography with multimodality imaging fusion. International Journal of Biomedical Imaging, Volume 2007, Article ID 86741, 4 Pg, 2007
36. PDF Wang ZG, Sun LZ, Fajardo LL, Wang G: Modeling and reconstruction of diffuse optical tomography using adjoint method. Communications in Numerical Methods in Engineering, Volume 25 Issue 6, pp. 657-665, 2008
37. PDF Han WM, Cong W, Kazmi K, Wang G: An integrated solution and analysis of bioluminescence tomography and diffuse optical tomography. Communications in Numerical Methods in Engineering, Volume 25 Issue 6, pp. 639 – 656, 2008
38. PDF Li YB, Shen HO, ZHU H, Trush M, Jiang M, Wang G: In situ real-time chemiluminescence imaging of reactive oxygen species formation in cultured cardiomyocytes. Volume 2008, Article ID 941729, 9 Pgs, 2008 [PMCID: PMC2650262]
39. PDF Han WM, Shen H, Kazmi K, Cong W, Wang G: Studies of a mathematical model for temperature-modulated bioluminescence tomography. Applicable Analysis, Volume 88 (2), pp.193-213, 2009
40. PDF Cong W, Wang G: Bioluminescence tomography based on the phase approximation model. JOSA A, Vol. 27, Issue 2, pp. 174-179, 2010 [PMCID: PMC2853929]
41. PDF Shen H, Wang G: A tetrahedron-based inhomogeneous Monte Carlo optical simulator. Phys. Med. Biol. 55, 947-962, 2010. The excutable package can be downloaded from TIM-OS website. [PMCID: PMC2858330]
42. PDF Vogt WC, Shen H, Wang G, Rylander C: Paramteric Study of Tissue Optical Clearing By Localized Mechanical Compression using Combined Finite Element and Monte Carlo Simulation. J. Innov Health Science,2011, 3(3):203-211
43. PDF Gong R, Wang G, Cheng X, Han WM: A novel approach for studies of multispectral bioluminescence tomography. Numer. Math. Vol 115 (4), pp.553-583, 2010
44. PDF Cong A, Cong, W. Lu, Y. Santago, P.  Chatziioannou, A. and Wang G: Differential Evolution Approach for Regularized Bioluminescence Tomography, IEEE Trans. Biomed. Eng. 57, pp.2229-2238, 2010
45. PDF Lu Y, Zhu B, Shen H, Rasmussen J, Wang G, Sevick-Muraca E: A parallel adaptive finite element simplified spherical harmonics approximation solver for frequency domain fluorescence molecular imaging. Phy. Med. Bio., 55, pp.4625-4645, 2010 [PMCID: PMC2980297]
46. PDF Gao H, Zhao H, Cong W, Wang G: Bioluminescence tomography with Gaussian prior, Journal of Optical Society of America,1(5):1259-1277, 2010
47. PDF Shen H, Wang G: A study on tetrahedron-based inhomogeneous Monte-Carlo optical simulation. Biomedical Optics Express, 2(1):44-57, 2011
48. PDF Shen H, Wang G: Reply to Comment on – A study on tetrahedron-based inhomogeneous Monte-Carlo optical simulation. Biomedical Optics Express, 2(5):1265-1267, 2011
49. PDF Cong WX, Shen H, Wang G: Spectrally-resolving and scattering-compensated x-ray luminescence/fluorescence CT. J. Biomed. Opt. 16:066014, 7 pgs, doi:10.1117/1.3592499, 2011
50. PDF Cong A, Hofmann, MC, Cong WX, Xu Y, Wang G: Monte Carlo fluorescence microtomography. J. Biomed. Opt. 16:070501, doi:10.1117/1.3596171, 2011
51. PDF Han W, Eichholz JA, Wang G: On a family of differential approximations of the radiative transfer equation.Journal of Mathematical Chemistry,Volume 50, Issue 4, pp 689-702. 2011
52. PDF Hoffman M, Whited B, Criswell T, Vogt W, Rylander M, Rylander C, Soker S, Wang G, Xu Y: A fiber-optic based imaging system for non-destructive assessment of cell-seeded tissue-engineering scaffolds, Tissue Engineering, 18(9):677-87. doi: 10.1089/ten.TEC.2011.0490 2012
53. PDF Hoffman M, Whited B, Criswell T, Vogt W, Rylander M, Rylander C, Soker S, Wang G, Xu Y: Scanning-fiber-based imaging methods in Tissue Engineering, J.Biomedical Optics, 17(6):066010, 11 pgs. doi: 10.1117/1.JBO.17.6.066010 2012
54. Gao H, Shen HO, Wang G, Zhao HK: A cross validation of an RTE solver and a Monte Carlo simulator in biophotonics. To appear in Opt. Express
55. Whited BM, Hofmann MC, Xu Y, Rylander CG, Wang G, Soker S, Rylander MN: Dynamic, nondestructive imaging of a bioengineered vascular graft endothelium. PLoS One (under review)
56. Gurjarpadhye AA, Whited BM, Niu G, Sharma KS, Vogt WC, Wang G, Xu Y, Soker S, Rylander MN, Rylander CG: Imaging and Characterization of Bioengineered Blood Vessels within a Bioreactor using Free-Space and Catheter-Based OCT. To appear in Lasers in Surgery and Medicine, 2013
57. Ren S, Chen X, Wang H, Qu X, Wang G, Liang JM, Tian J: Molecular Optical Simulation Environment (MOSE): A platform for the simulation of light propagation in turbid media. PLoS ONE 8(4):e61304. doi:10.1371/journal.pone.0061304, 2013
58. Feng P, Cong WX, Wei B, Wang G: Analytic comparison between x-ray fluorescence CT and K-edge CT. IEEE Trans. Biomedical Engineering 61:975-985, 2014
59. Ren, Wu, Wang G, Wu XZ, Liu H: Three-dimensional x-ray fluorescence mapping (XFM) of a gold nanoparticle-loaded phantom. Med. Phys. 41:031902:1-12, 2014
60. Cong WX, Liu FL, Wang C, Wang G: X-ray micro-modulated luminescence tomography (XMLT). Optics Express 22:5572–5580, 2014 (selected by the Editors, Andrew Dunn and Anthony Durkin, for publication in the Virtual Journal for Biomedical Optics (VJBO) V9(5), April 29, 2014, which is a special feature of OSA’s Optics InfoBase, http://vjbo.osa.org/virtual_issue.cfm)
61. Niu GG, Sapoznik E, Lu P, Criswell T, Mohs AM, Wang G, Lee SJ, Xu Y, Soker S: Fluorescent imaging of endothelial cells in bioengineered blood vessels: The impact of cross-linking of the scaffold. To appear in Journal of Tissue Engineering and Regenerative Medicine, 2014
62. Han WM, Cong WX, Wang G: Radiative transfer with delta-Eddington-type phase functions. Applied Mathematics and Computation, pending, 2014
63. Gurjarpadhye AA, DeWitt MR, Xu Y, Wang G, Rylander MN, Rylander CG: Dynamic assessment of the endothelialization of tissue-engineered blood vessels using an OCT catheter-based fluorescence imaging system. To appear in Tissue Engineering, 2014
64. Zhao LL, Yang H, Cong WX, Wang G, Intes X: Lp regularization for early time-gate reconstruction in time-domain fluorescence molecular tomography. Optics Letters 39:4156-4159, 2014 (selected by the Editors, Andrew Dunn and Anthony Durkin, for publication in the Virtual Journal for Biomedical Optics (VJBO), http://vjbo.osa.org/virtual_issue.cfm)
65. Yang FG, Ozturk MS, Zhao LL, Cong WX, Wang G, Intes X: High-resolution mesoscopic fluorescence molecular tomography based on compressive sensing. To appear in IEEE Trans. BME, 2014
66. Pian Q, Wang C, Chen XL, Liang JM, Zhao LL, Wang G, Intes X: Multimodal biomedical optical imaging: Towards comprehensive investigation of biological tissues. To appear in Current Molecular Imaging, 2014
67. Cong WX, Wang C, Wang G: Stored luminescence computed tomography. Applied Optics 53:5672-5676, 2014 (selected for inclusion in Virtual Journal for Biomedical Optics (VJBO) 9(11), Nov. 6, 2014)
68. Cong WX, Pan ZW, Filkins R, Srivastava AM, Ishaque N, Stefanov P, Wang G: X-ray micro-modulated luminescence tomography in dual-cone geometry. Journal of Biomedical Optics 19: 076002(1-5), 2014
69. Stefanov P, Cong WX, Wang G: Modulated luminescence tomography. Inverse Problems, in review, 2014 (http://arxiv.org/abs/1406.6752)
70. Cong WX, Wang G: X-ray fan-beam luminescence tomography. Austin J Biomed Eng. 1(5):4, 2014
71. Cong WX, Xi Y, Wang G: X-ray fluorescence computed tomography with polycapillary focusing. To appear in IEEE Access, 2014

Computed Tomography

1. PDF Wang G, Lin TH, Cheng PC, Shinozaki DM: Point spread function of the general cone-beam X-ray reconstruction formula. Journal of Scanning Microscopy 14:187-193, 1992
2. PDF Wang G, Lin TH, Cheng PC, Shinozaki DM: Cone-beam reconstruction of plate-like specimens. Journal of Scanning Microscopy 14:350-354, 1992
3. PDF Wang G, Lin TH, Cheng PC, Shinozaki DM: A general cone-beam reconstruction algorithm. IEEE Transactions on Medical Imaging 12:486-496, 1993
4. PDF Wang G, Lin TH, Cheng PC: A derivative-free non-circular fan-beam reconstruction formula. IEEE Transactions on Image Processing 2:543-547, 1993
5. PDF Wang G, Lin TH: Comments on A cone-beam filtered backprojection reconstruction algorithm for cardiac single photon emission computed tomography. IEEE Transactions on Medical Imaging 12:383-384, 1993
6. PDF Wang G, Vannier MW: Helical CT image noise – Analytical results. Medical Physics 20:1635-1640, 1993
7. PDF Vannier MW, Wang G: Spiral CT refines imaging of temporal bone disorders. Diagnostic Imaging 15:116-121, 1993
8. PDF Wang G, Wei Y: Analysis on deriative-free noncircular fan-beam projection and the Radon transform. IEEE Trans.Image Processing,Volume 2(4), pp: 543-547, 1993
9. PDF Wang G, Vannier MW: Longitudinal resolution in volumetric X-ray CT – Analytical comparison between conventional and helical CT. Medical Physics 21:429-433, 1994
10. PDF Wang G, Brink JA, Vannier MW: Theoretical FWTM values in helical CT. Medical Physics 21:753-754, 1994
11. PDF Wang G, Vannier MW: Stair-step artifacts in three-dimensional helical CT – An experimental study. Radiology 191:79-83, 1994
12. PDF Wang G, Liu Y, Lin TH, Cheng PC, Shinozaki DM: Half-scan cone-beam X-ray microtomography formula. Journal of Scanning Microscopy 16:216-220, 1994
13. PDF Brink JA, Heiken JP, Wang G, McEnery KW, Schlueter FJ, Vannier MW: Spiral (helical) CT: Principles and technical considerations. RadioGraphics 14:887-893, 1994
14. PDF Vannier MW, Wang G: Book Review of Kimura, K. and Koga S., eds. Basic Principles and Clinical Applications of Helical Scan. Applications of Continuous-Rotation CT, AJR 163:322, 1994
15. PDF Wang G, Vannier MW: Spatial variation of section sensitivity profile in helical CT. Medical Physics 21:1491-1497, 1994
16. PDF Vannier MW, Wang G: Spiral CT refines imaging of temporal bone disorders. Diagnostic Imaging International 10:34-38, 1994
17. PDF Schlueter FJ, Wang G, Hsieh P, Brink JA, Vannier MW: Longitudinal image deblurring in spiral CT. Radiology 193:413-418, 1994
18. PDF Brink JA, Lim JT, Wang G, Heiken JP, Deyoe LA, Vannier MW: Technical optimization of spiral CT for depiction of renal artery stenosis: in vitro analysis. Radiology 194:157-163, 1995
19. PDF Wang G, Vannier MW: Preliminary Study on helical CT algorithms for patient motion estimation and compensation. IEEE Transactions on Medical Imaging 14:205-211, 1995
20. PDF Vannier MW, Wang G, Skinner MW, Esselman GH: Imaging the temporal bone by spiral CT. MEDIZIN IM BILD 1:23-29, 1995
21. PDF Wang G, Skinner MW, Vannier MW: Temporal bone volumetric image deblurring in spiral CT. Academic Radiology 2:888-895, 1995
22. PDF Wang G, Lin TH, Cheng PC: Error analysis on the generalized Feldkamp cone-beam algorithm. Journal of Scanning Microscopy 17:361-370, 1995
23. PDF Wang G, Cheng PC: Feldkamp-type cone-beam reconstruction: Revisited. Zoological Studies 34(S):159-161, 1995
24. PDF Wang G, Vannier MW: Maximum volume coverage in spiral CT. Academic Radiology 3:423-428, 1996
25. PDF Wang G, Zhao SY, Cheng PC: Cone-beam X-ray tomographic and stereo-imaging. Biomedical Engineering 8:261-271, 1996
26. PDF Wang G, Snyder DL, Vannier MW: Local CT via iterative deblurring. Journal of Scanning Microscopy 18:582-588, 1996
27. PDF Luker GD, Bae KT, Siegel MJ, Don S, Brink JA, Wang G, Herman TE: Ghosting of pulmonary nodules with respiratory motion: Comparison of helical and conventional CT using an in vitro pediatric model. AJR 167:1189-1193, 1996
28. PDF Wang G, Snyder DL, O’Sullivan JA, Vannier MW: Iterative deblurring for metal artifact reduction. IEEE Transactions on Medical Imaging 15:657-664, 1996
29. PDF Robertson DD, Yuan J, Wang G, Vannier MW: Total hip prosthesis metal-artifact suppression using iterative deblurring reconstruction. J.Computer Assisted Tomography. 21:293-298, 1997 (Won the Giovanni DiChiro Award; the method and software were reported in the paper [27] (Wang et al., IEEE Trans. on Med. Imaging 15:657-664, 1996)
30. PDF Wang G, Vannier MW: Low-contrast resolution in volumetric X-ray CT – Analytical comparison between conventional and spiral CT. Medical Physics 24:373-376, 1997
31. PDF Wang G, Vannier MW: Optimal pitch in spiral computed tomography. Medical Physics 24:1635-1639,
32. PDF Vannier MW, Hildebolt CF, Conover G, Knapp RH, Grothers NY, Wang G: Three-dimensional dental imaging by spiral CT. Oral Surgery, Oral Medicine, and Oral Pathology 84:561-570, 1997
33. PDF Brink JA, Woodard PK, Horesh L, Heiken JP, Glazer HS, Anderson CD, Wang G, Schwartz DM: Depiction of pulmonary emboli with helical CT: Optimization of display window settings in a porcine model. Radiology 204:703-708, 1997
34. PDF Zhao SY, Welland G, Wang G: Wavelet sampling and localization schemes for the Radon transform in two dimensions. SIAM Journal on Applied Mathematics 57:1749-1762, 1997
35. PDF Pan SJ, Liou WS, Shih A, Park MS, Wang G, Newberry SP, Kim HG, Shinozaki DM, Cheng PC: Experimental system for X-ray cone-beam microtomography. Microscopy and Microanalysis 4:56-62, 1998
36. PDF Wang G, Vannier MW, Skinner MW, Cavalcanti MGP, Harding G: Spiral CT image deblurring for cochlear implantation. IEEE Transactions on Medcial Imaging 17:251-262, 1998
37. PDF Wang G, Schweiger GD, Vannier MW: An iterative algorithm for X-ray CT fluoroscopy. IEEE Transactions on Med. Imaging 17:853-856, 1998 (patent issued)
38. PDF Zhao SY, Wang G, Hsieh J: Wavelet filtering algorithm for fan-beam CT. IEE Electronics Letters 34:2395-2396, 1998
39. PDF Vannier MW, Wang G, Skinner MW, Rubinstein JT: New X-ray imaging strategies – Implications for cochlear implantation. Review of Progress in Qualitative Nondestructive Evaluation 18(B):1569-1574, 1999
40. PDF Wang G, Vannier MW, Cheng PC: Iterative X-ray cone-beam tomography for metal artifact reduction and local region reconstruction. Microscopy and Microanalysis 5:58-65, 1999
41. PDF Redford K, Wang G, Vannier MW: Equiangular fan-beam CT reconstruction for a non-circular scanning locus. Optical Engineering 38:1335-1339, 1999
42. PDF Wang G, Vannier MW: The effect of pitch in multi-slice spiral/helical CT. Medical Physics 26: 2648-2653, 1999
43. PDF Brink JA, Wang G, McFarland EG: Optimal slice spacing in single-detector helical CT. Radiology 214:575-578, 2000
44. PDF Schweiger GD, Brown BP, Pelsang RE, Dhadha RS, Barloon TJ, Wang G: CT fluoroscopy: Technique and utility in guiding biopsies of transiently enhancing hepatic masses. Abdominal Imaging 25:81-85, 2000
45. PDF Wang G, Frei T, Vannier MW: A fast iterative algorithm for metal artifact reduction in X-ray CT. Academic Radiology 7:607-614, 2000
46. PDF Zhao SY, Wang G: Feldkamp-type cone-beam tomography in the wavelet framework. IEEE Transactions on Medical Imaging 19:922-929, 2000
47. PDF Wang G, Crawford CR, Kalender WA: Multi-row-detector and cone-beam spiral/helical CT. IEEE Transactions Medical Imaging 19:817-821, 2000
48. PDF Shih A, Wang G, Cheng PC: A fast algorithm for X-ray cone-beam microtomography. Microscopy and Microanalysis 7:13-23, 2001
49. PDF Zhao SY, Robertson DD, Wang G, Whiting B, Bae KT: X-ray CT metal artifact reduction using wavelets: an application for imaging total hip prostheses. IEEE Transactions on Medical Imaging 19:1238-1247, 2001
50. PDF Liu Y, Liu H, Wang Y, Wang G: Half-scan cone-beam CT fluoroscopy with multiple X-ray sources. Medical Physics 28:1466-1471, 2001
51. PDF Wang G, Vannier MW: Overview on micro-CT scanners for biomedical applications. Advanced Imaging 16:22-27, 2001
52. PDF Wang B, Wang G: Image reconstruction algorithms for cone-beam CT. Journal of CT Theory and Applications 10:1-8, 2001
53. PDF Wang B, Liu H, Zhao S, Wang G: Feldkamp-type image reconstruction from equiangular data. Journal of X-Ray Science and Technology 9:113-120, 2001
54. PDF Ye YB, Wang G, Zhu JH: Linear Diophantine equations for discrete tomography. Journal of X-Ray Science and Technology 10:59-66, 2002
55. PDF Zhao SY, Bae KT, Whiting B, Wang G: A wavelet method for metal artifact reduction with multiple metallic objects in the field of view. Journal of X-Ray Science and Technology 10:67-76, 2002
56. PDF Jiang M, Wang G: Development of iterative algorithms for image reconstruction. Journal of X-Ray Science and Technology 10:77-86, 2002
57. PDF Wang G, Book Review – Reprinted classics on computed tomography. Medical Physics 29:107-108, 2002
58. PDF Jiang M, Wang G, Skinner MS, Rubinstein J, Vannier MW: Blind deblurring for spiral CT images – Comparative studies on edge-to-noise ratios. Medical Physics 29:821-829, 2002
59. PDF Wang G: X-ray micro-CT with a displaced detector array. Medical Physics 29:1634-1636, 2002
60. PDF Wang G, Zhao SY, Heuscher D: A knowledge-based cone-beam X-ray CT algorithm for dynamic volumetric cardiac imaging. Medical Physics 29:1807-1822, 2002
61. PDF Lee SW, Cho G, Wang G: Artifacts associated with implementation of the Grangeat Formula. Medical Physics 29:2871-2880, 2002
62. PDF Wang G, Jiang M, Liu H, Lee SW, Hoffman EA: Cone-beam reconstruction for micro-CT. Journal of CT Theory and Applications 11:7-11, 2002
63. PDF Lee SW, Wang G: A Grangeat-type half-scan algorithm for cone-beam CT. Medical Physics 30:689-700, 2003
64. PDF Ye YB, Zhu JH, Wang G: A Point-wise limit theorem for filtered backprojection in computed tomography. Medical Physics 30:816-822, 2003
65. PDF Jiang M, Wang G: Development of blind image deconvolution and its applications. Journal of X-Ray Science and Technology 11:13-19, 2003
66. PDF Wang G, Madsen M, Redford K, Zhao S, Vannier MW: A Study on the section sensitivity profile in multi-row-detector spiral CT. Journal of X-Ray Science and Technology 11:1-11, 2003
67. PDF Jiang M, Wang G: Convergence of the Simultaneous Algebraic Reconstruction Technique (SART). IEEE Transactions Image Processing 12:957-961, 2003
68. PDF Jiang M, Wang G: Convergence studies on iterative algorithms for image reconstruction. IEEE Transaction on Medical Imaging 22:569-579, 2003
69. PDF Jiang M, Wang G, Skinner MS, Rubinstein J, Vannier MW: Blind deblurring for spiral CT images. IEEE Transactions on Medical Imaging 22:837-845, 2003
70. PDF Liu V, Lariviere N, Wang G: X-ray micro-CT with a displaced detector array: An application for helical cone-beam reconstruction. Medical Physics 30:2758-2761, 2003
71. PDF Wang G: Revisit to derivative-free noncircular fan-beam reconstruction – Responses to Discussions on a noncircular fan-beam reconstruction formula by Huang et al. Computed Tomography Theory and Application 12:39-44, 2003
72. PDF Wang G, Lee SW: Grangeat-type and Katsevich-type algorithms for cone-beam CT. Journal of CT Theory and Applications 12:45-55, 2003
73. PDF Li X, Jiang M, Wang G: A numerical simulator in VC++ on PC for iterative image reconstruction. Journal of X-Ray Science and Technology 11:61-70, 2003
74. PDF Bennett JR, Bai EW, Halloran JI, Wang G: A preliminary study on adaptive field-of-view tracking in peripheral digital subtraction angiography. Journal of X-Ray Science and Technology 11:149-159, 2003
75. PDF Lee SW, Wang G: A helical half-scan cone-beam CT algorithm for short object geometry in the Grangeat framework. Medical Physics 31:4-16, 2004
76. PDF Hsieh J, Wei YC, Wang G: Fractional Scan Algorithms for Low-Dose CT Perfusion. Medical Physics 31:1254-1257, 2004
77. PDF Ye YB, Zhu JH, Wang G: Minimum Detection Windows, PI-Line existence and uniqueness for helical cone-beam scanning of variable pitch. Medical Physics 31:566-572, 2004
78. PDF Ye Y, Zhu JH, Wang G: Geometric studies on variable radius spiral cone-beam scanning. Medical Physics 31:1473-1480, 2004
79. PDF Yu HY, Wang G: Studies on implementation of the Katsevich algorithm for spiral cone-beam CT. Journal of X-ray Science and Technology 12:97-116, 2004
80. PDF Yu HY, Wang G: Feldkamp-type VOI reconstruction from super-short-scan cone-beam data. Medical Physics 31:1357-1362, 2004
81. PDF Wang G, Jiang M: Ordered-subset simultaneous algebraic reconstruction techniques (OS-SART). Journal of X-Ray Science and Technology 12:169-177, 2004
82. PDF Kai Z, Chen ZQ, Zhang, L, Wang G: A half-scan error reduction based algorithm for cone-beam CT. Journal of X-Ray Science and Technology 12:73-82, 2004
83. PDF Zeng K, Chen ZQ, Zhang L, Wang G: An error-reduction-based algorithm for cone-beam CT. Medical Physics 31:3206-3212, 2004
84. PDF Wang G, Liu Y, Ye Y, Zhao S, Hsieh J, Ge S: Top-level design and preliminary physical analysis for the first electron-beam micro-CT scanner. Journal of X-Ray Science and Technology 12:251-260, 2004
85. PDF Zhu J, Lee SW, Ye Y, Zhao S, Wang G: X-ray transform and 3D Radon transform for ellipsoids and tetrahedra. Journal of X-Ray Science and Technology 12:215-229, 2004
86. PDF Wang J, Wang G, Jiang M: Blind deblurring of spiral CT images based on ENR and Wiener filter. Journal of X-ray Science and Technology 13:49-60, 2005
87. PDF Kim KD, Ruprecht A, Wang G, Lee JB, Dawson DV, Vannier MW: Accuracy of facial soft tissue thickness measurements in personal computer-based multiplanar reconstructed computed tomographic images: Effect of variable scanning protocols. Forensic Science International 155:28-34, 2005
88. PDF Zhao S, Yu H, Wang G: A unified framework for exact cone-beam image reconstruction formulas. Medical Physics 32:1712-1721, 2005
89. PDF Li X, Ni J, Wang G: Parallel iterative cone-beam CT image reconstruction on a PC cluster. Journal of X-Ray Science and Technology 13:63-72, 2005
90. PDF Ye Y, Wang G: A filtered backprojection formula for exact image reconstruction from cone-beam data along a general scanning curve. Medical Physics 32:42-48, 2005
91. PDF Wei Y, Wang G, Hsieh J: An intuitive discussion on the ideal ramp filter in computed tomography. International J. Computers and Mathematics 49:731-740, 2005
92. PDF Wang G, Zhao S, Yu HY, Miller CM, Abbas PJ, Gantz B, Rubinstein J: Design, analysis and simulation for development of the first clinical micro-CT scanner. Academic Radiology 12:511-522, 2005
93. PDF Yu HY, Ye YB, Zhao SY, Wang G: A backprojected filtration algorithm for nonstandard spiral cone-beam CT with an N-PI window. Physics in Medicine and Biology. 50:2099-2111, 2005
94. PDF Ye Y, Zhao S, Yu H, Wang G: A general exact reconstruction for cone-beam CT via backprojection-filtration. IEEE Transactions on Medical Imaging 24:1190-1198, 2005
95. PDF Zeng K, Zhao S, Farjado L, Wang G: Global low-resolution CT scan regulated tomosynthesis. Journal of CT Theory and Applications 14:63-69, 2005
96. PDF Wei Y, Wang G, Jiang H: Relation between filtered backprojection and backprojection for X-ray CT. IEEE Signal Processing Letters 12:633-636, 2005
97. PDF Zhu JH, Zhao SY, Ye YB, Wang G: Computed tomography simulation with superquadrics. Medical Physics 32:3136-3143, 2005
98. PDF Zou Y, Pan X, Xia D, Wang G: PI-line-based image reconstruction in helical cone-beam computed tomography with a variable pitch. Medical Physics 32:2639-2648, 2005
99. PDF Yu H, Zhao S, Ye Y, Wang G: A differentiable Shepp-Logan phantom and its applications in exact cone-beam CT. Physics in Medicine and Biology 50:5583-5595, 2005
100. PDF Yu H, Zhao S, Ye Y, Wang G: Exact BPF and FBP algorithms for nonstandard saddle curves. Medical Physics 32:3305-3312, 2005
101. PDF Wei YC, Hsieh J, Wang G: General formula for fan-beam computed tomography. Physical Review Letters 95:258102, 2005
102. PDF Meinel JA, Hoffman EA, Clough A, Wang G: Reduction of half-scan shading artifact based on full-scan Correction. Academic Radiology 13:55-62, 2006
103. PDF Yu HY, Wang G: A general formula for fan-beam Lambda tomography. International Journal of Biomedical Imaging 2006:Article ID 10427, 9 pg, 2006
104. PDF Yu HY, Ye YB, Zhao S, Wang G: Local ROI reconstruction via generalized FBP and BPF algorithms along more flexible curves. International Journal of Biomedical Imaging 2006: Article ID 14989, 7 pgs, 2006
105. PDF Bai EW, Wang CL, Liu Y, Wang G: Controlled cardiac computed tomography. International Journal of Biomedical Imaging 2006:Article ID 14989, 11 pg, 2006
106. PDF Deng J, Yu H, Ni J, He T, Zhao SY, Wang L, Wang G: A parallel Katsevich algorithm for 3-D CT image reconstruction. Journal of Supercomputing 38:35–47, 2006
107. PDF Bai EW, Bennett JR, McCabe R, Sharafuddin MJ, Bai H, Halloran J, Vannier MW, Liu Y, Wang CL, Wang G: Study of an adaptive bolus chasing CT angiography. Journal of X-Ray Science and Technology 14: 27-38, 2006
108. PDF Wei YC, Yu HY, Wang G: Integral Invariants for Computed Tomography. IEEE Signal Processing Letters 13:549- 552, 2006
109. PDF Yu HY, Wei YC, Hsieh J, Wang G: Data consistency based translational motion artifact reduction in fan-beam CT. IEEE Transactions Medical Imaging 25:792-803, 2006
110. PDF Lu DH, Bai EW, Liu J, Yu HY, Wei YC, Cai ZJ, Sharafuddin MJ, Golzarian J, Stolpen A, Saba O, Vannier MW, Wang G: Projection-based bolus detection for CT angiography. J. Computer Aided Tomography 30:846-849, 2006
111. PDF Yu HY, Ye YB, Zhao SY, Wang G: Studies on Palamodov’s algorithm for reconstruction from data collected along general loci. Inverse Problems 22:447-460, 2006
112. PDF Yu HY, Ye YB, Zhao SY, Wang G: Reply to the comments by Palamodov on Studies on Palamodov’s algorithm for reconstruction from data collected along general loci. Inverse Problems 22:1505-1506,
113. PDF Zeng K, Yu HY, Fajardo LL, Wang G: Cone-beam mammo-computed tomography from data along two tilting arcs. Medical Physics 33:3621-3633, 2006
114. PDF Zhao J, Jiang M, Zhuang TG, Wang G: Minimum detection window and inter-helix PI-line with triple-source helical cone-beam scanning. Proc. SPIE 5535, Developments in X-Ray Tomography IV, 599; pp:95-107, doi:10.1117/12.560256, 2006
115. PDF Zhao J, Jiang M, Zhuang TG, Wang G: An exact reconstruction algorithm for triple-source helical cone-beam CT. Journal of X-ray Science and Technology 14:191-206, 2006
116. PDF Ni J, Li X, He T, Wang G: Review of parallel computing techniques for CT Image reconstruction, Current Med. Imaging. Rev.,2:1-10, 2006, doi: 10.1.1.86.1487
117. PDF Yu HY, Ye YB, Wang G: Practical cone-beam lambda tomography. Medical Physics 33:3640-3646, 2006
118. PDF Li L, Kang KJ, Chen ZQ, Zhang L, Xin YX, Wang G: The FDK algorithm with an expanded definition domain for cone-beam reconstruction preserving oblique line integrals. Journal of X-ray Science and Technology 14:217-233, 2006
119. PDF Li L, Chen ZQ, Xing YX, Zhang L, Kang KJ, Wang G: A general and exact synthetic algorithm for computing parallel projections from cone-beam projections via filtered backprojection. Physics in Medicine and Biology 51:5643-5654, 2006
120. PDF Cai ZJ, Stolpen A, Sharafuddin MJ, McCabe R, Bai H, Potts T, Vannier M, Li DB, Bi XM, Bennett J, Golzarian J, Sun SL, Wang G, Bai EW: Bolus characteristics based on magnetic resonance angiography. BioMedical Engineering OnLine 5:53, 2006
121. PDF Ye Y, Yu HY, Wang G: Cone-beam pseudo-lambda tomography. Inverse Problems 23:203–215, 2007
122. PDF Wang G, Ye Y, Yu HY: Approximate and exact cone-beam reconstruction with standard and non-standard spiral scanning. Physics in Medicine and Biology. 52:R1-R13, 2007
123. PDF Cai Z, McCabbe R, Wang G, Bai EW: Bolus chasing computed tomography angiography using local maximum tracking method. Internal Journal of Modeling, Identification and Control 2:305-312, 2007
124. PDF Yu HY, Zeng K, Bharkhada D, Wang G, Madsen MT, Saba O, Policeni B, Howard MA, Smoker WRK: A segmentation based interpolation method for metal artifact reduction. Academic Radiology 14:495-504, 2007
125. PDF Zeng K, Yu HY, Zhao SY, Fajardo L, Ruth C, Jing Z, Wang G: Digital tomosynthesis aided by low resolution exact CT. J. Computer assited tomography 31:976-983, 2007
126. PDF Liu J, Wang C, Liu Y, Bai E, Wang G: Selectable source rotational velocity for cardiac CT. J.Computer Assisted Tomography 31:16-21, 2007
127. PDF Yu HY, Wang G: Data consistency based rigid motion artifact reduction in fan-beam CT. IEEE Transactions on Medical Imaging 26:249-260, 2007
128. PDF Cai ZJ, Wang G, Bai EW: An adaptive optimal control design for bolus chasing computed tomography angiography. IEEE Transactions on Control Systems Technology 16:60-69, 2007
129. PDF Zeng K, Bai EW, Wang G: A fast CT reconstruction scheme for a general multi-core PC. International Journal of Biomedical Imaging 2007:Article ID 29610, 9 pgs, 2007
130. PDF Zeng K, Yu HY, Bai EW, Wang G: Numerical studies on Palamodov and Generalized Feldkamp algorithm for general cone-beam scanning. Journal of X-ray Science and Technology 52:4331-4344, 2007
131. PDF Yu H, Ye Y, Wei YC, Wang G: Lambda tomography with discontinuous scanning trajectories. Physics in Medicine and Biology 52:4331-4344, 2007
132. PDF Bharkhada D, Yu H, Zeng K, Bai EW, Wang G: A comparative study on interpolation methods for controlled cardiac CT. International Journal of Imaging Systems and Technology 17:91-98, 2007
133. PDF Ye Y, Yu H, Wei Y, Wang G: A general local reconstruction approach on a truncated hilbert transfrom. International Journal of Biomedical Imaging 2007:Article ID 63634, 8 pgs, 2007
134. PDF Bharkhada D, Yu H, Wang G: Knowledge-based dynamic volumetric cardiac CT with saddle curve trajectory. J.Computer Assisted Tomography, 32:942-950, 2008. [PMCID: PMC2862002]
135. PDF Zhao J, Jin YN, Bai EW, Wang G: Feldkamp-type reconstruction algorithms for spiral cone-beam CT with variable pitch. Journal of X-ray Science and Technology 15:177-196, 2007
136. PDF Wei Y, Yu H, Hsieh J, Cong W, Wang G: Scheme of computed tomography. Journal of X-ray Science and Technology 15:235-270, 2007. Please also see Erratum
137. PDF Yu H, Wang G: Cone-beam composite-circling scan and exact image reconstruction for a quasi-short object. International Journal of Biomedical Imaging, 2008:Article ID 87319, 10 pgs, 2007
138. PDF Ye Y, Yu H, Wang G: Exact interior reconstruction with cone-beam CT. International Journal of Biomedical Imaging, 2008:Article ID 10693, 5 pgs, 2008 [PMCID: PMC2235933]
139. PDF Jiang M, Wyatt LW, Wang G: X-ray phase-contrast imaging with three 2-D gratings. International Journal of Biomedical Imaging 2008:Article ID 827152, 8 pgs, 2008
140. PDF Zhu JH, Li X, Ye YB, Wang G: Analysis on the strip-based projection model for discrete tomography. Discrete Applied Mathematics, 156:2359-2367, 2008
141. PDF Bai H, Zeng K, Bai EW, Wang G: Manual control of the patient table for bolus-chasing CT angiography. Journal of X-ray science and Technology, Vol. 16(1), pp. 23-31, 2008
142. PDF Yu H, Wang G: Erratum to A general formula for fan-beam lambda tomography (International Journal of Biomedical Imaging, 2006:Article ID 10427, 2006). International Journal of Biomedical Imaging 2007:Article ID 95295, 1 page, 2007
143. PDF Wang G, Yu HY, DeMan B: An outlook on X-ray CT research and development. Medical Physics, 35:1051-1064, 2007. Chinese version PDF
144. PDF Li L, Kang K, Chen Z, Zhang L, Xing Y, Yu HY, Wang G: An alternative derivation and description of Smith’s data sufficiency condition for exact cone-beam reconstruction. Journal of X-ray Science and Technology, 16, 43-49, 2008
145. PDF Cai Z, Erdahl C, Zeng K, Potts T, Sharafuddin M, Saba O, Wang G, Bai E: Adaptive bolus chasing computed tomography angiography: Control scheme and experimental result. Biomedical Signal Processing and Control. Vol. 3(4), pp.319-326, 2008 [PMCID: PMC2598763]
146. PDF Wei Y: Comment on Image Reconstruction via the finite Hilbert transform of the derivative of the backprojection. Medical Physics 34:4068-4070, 2007
147. PDF Zeng K, Laurie LL, Kao S, Franken EA, Park JM, Jiang ZX, Bai EW, Wang G: An in vitro evaluation of cone-beam breast CT methods. Journal of X-ray Sciences and Technology, Volume 16(3), pp. 171-178, 2008 [PMCID: PMC2855164]
148. PDF Zhao J, Jin YN, Yang L, Wang G: A filtered backprojection algorithm for triple-soure helical cone-beam CT. IEEE Transactions on Medical Imaging, 28:384-393, 2009 [PMCID: PMC2876985]
149. PDF Yu Hy, Yang JS, Jiang M, Wang G: Interior SPECT- Exact and stable ROI reconstruction from unifromly attenuated local projections. Communications in Numerical Methods in Engineering, 2009, DOI: 10/1002/cnm.1206, 18 pgs [PMCID: PMC2759671]
150. PDF Bharkhada D, Yu H, Shuping G, Carr J, Wang G: Cardiac CT dose reduction using interior reconstruction algorithm with the aorta and vertebra as known information. J.Computer Assisted Tomography, 33(3), pp.338-347, 2009 [PMCID: PMC2867235]
151. PDF Bai EW, Cai ZJ, Wang G: Adaptive bolus-chasing computed tomography angiography: A whole body scan considering asymmetric arterial flow in peripheral arteries. Biomedical Signal Processing and Control, Volume 4(4), pp.302-308, 2009.
152. PDF Deng J, Yu H, Ni J, Wang L, Wang G: Parallelism of iterative CT reconstruction based on local reconstruction algorithm. Journal of Supercomputing, 48:1-14, 2009 [PMCID: PMC2901129]
153. PDF Yu HY, Yang JS, Jiang M, Wang G: Ultra-low dose lung CT perfusion regularized by a previous scan. Academic Radiology, 16:363-373, 2009
154. PDF Bharkhada D, Yu HY, Dixon R, Wei YC, Carr JJ, Bourland D, Hogan R, Wang G: Demonstration of dose and scatter reduction for interior tomography. J. Computer Assisted Tomography,33(6):967-72, 2009 [PMCID: PMC2860287]
155. PDF Lu Y, Zhao J, Wang G: Exact image reconstruction with triple-source saddle-curve cone-beam scanning. Phys. Med. Biol. 54 2971-2991, 2009 [PMCID: PMC2888295]
156. PDF Bharkhada D, Yu HY, Liu H, Plemmons R, Wang G: Line-source-based x-ray tomography. International Journal of Biomedical Imaging, Volume 2009, Article ID 534516, 8 pgs, 2009 [PMCID: PMC2674683]
157. PDF Yu HY, Wang G: Compressive sensing based interior tomography. Phys. Med. Biol. 54, pp.2791–2805, 2009 [PMCID: PMC2863332]
158. PDF Yu H, Cao G, Burk L, Lee Y, Lu J, Santago P, Zhou O and Wang G; Compressive sampling based interior tomography for dynamic carbon nanotube Micro-CT; Journal of X-ray Science and Technology, 17(4): 295-303, 2009. [PMCID: PMC2859073]
159. PDF Yu H, Ye Y, Wang G: Interior reconstruction using the truncated Hilbert transform via singular value decomposition. Journal of X-ray Sciences and Technology 16:243-251, 2008 [PMCID: PMC2860313]
160. PDF Wang G, Yu H, Ye Y: A scheme for multi-source interior tomography; Medical Physics, 36(8):3575-3581, 2009.
161. PDF Ye L, Yu H, Wang G: Determination of exact reconstruction Regions in Composite-circling cone-beam tomography. Medical Physics, .36(8):3448-3454, 2009 [PMCID: PMC2832026]
162. PDF Lu Y, Cai Z, Wang G, Zhao J, Bai E: Preliminary experimental results on controlled cardiac computed tomography: A phantom study. J.X-ray Science & Technology, 17(2), 175-187, 2009
163. PDF Yu H, Yang JS, Jiang M, Wang G: Supplemental analysis on compressed sensing based interior tomography, Physics in Medicine and Biology, 54(18):N425-N432. 2009 [PMCID: PMC2858336]
164. PDF Wang G, Cong W, Shen H, Zou Y: Varying collimation for dark-field extraction. International Journal of Biomedical Imaging, ID847537,7 pg., 2009 [PMCID: PMC2825654]
165. PDF Han W, Yu H, Wang G: A general total variation minimization theorem for compressed sensing based interior tomography; International Journal of Biomedical Imaging, Article ID: 125871, 3pg., 2009 [PMCID: PMC2786191]
166. PDF Lv Y, Katsevich A, Zhao J, Yu H, Wang G: Fast exact/quasi-exact FBP algorithms for triple-source helical cone-beam CT. IEEE Trans. Medical Imaging 29:756-770, 2010 [PMCID: PMC2885857]
167. PDF Lin Y, Lu Y, Wang G: Compressed sensing based image reconstruction from overlapped projections. International Journal of Biomedical Imaging, ID284073, 8pg.,2010 [PMCID: PMC2905705]
168. PDF Yang JS, Yu HY, Jiang M, Wang G: High-order total variation minimization for interior tomography. Inverse Problems 26:1-29, 2010 [PMCID: PMC2857378]
169. PDF Yu H, Wang G: SART-type image reconstruction from a limited number of projections with the sparsity constraint; International J.Biomedical Imaging, Vol. 2010, ID 934847, 9pg., doi:10.1155/2010/934847
170. PDF Wang G, Yu H, Can interior tomography outperform lambda tomography, PNAS, vol. 107(22),E92-93, 2010 [PMCID: PMC2890447]
171. PDF Lu Y, Yu H, Cao G, Zhao J, Wang G, Zhou O: Multi-beam field emission x-ray system and its reconstruction algorithm. Medical Physics 37:3773-3781, 2010
172. PDF Yu H, Ji CG, Wang G: SART-Type Image Reconstruction from Overlapped Projections, International Journal of Biomedical Imaging, vol. 2011, Article ID 549537, 7 pgs, 2010 [PMCID: PMC2943093]
173. PDF Yuchuan Wei, Hengyong Yu, and Ge Wang, Inverse Fourier Transform in the Gamma Coordinate System, International Journal of Biomedical Imaging, vol. 2011, Article ID 285130, 16 pgs, 2010 [PMCID: PMC2964910]
174. PDF Yu H, Wang G, A soft-threshold filtering approach for reconstruction from a limited number of projections, Physics in Medicine and Biology, vol. 55, pg 3905-3916, 2010
175. PDF Yu H, Wang G, SART-Type Image Reconstruction from a Limited Number of Projections with the Sparsity Constraint, International J.Biomedical Imaging, ID:934847,doi:10.1155/2010/934847, 9pg., 2010
176. PDF Cong W, Wang G, Higher-order phase shift reconstruction approach,  Med. Phys. 37, 5238-5242, 2010
177. PDF Ni J, Deng J, He T, Speedup performance Analysis of Parallel Katsevich algorithm for 3-D CT Image Reconstruction, Int. J. Computational Science and Engineering, Volume 6(3), 2011, pp: 151-159
178. PDF Yu H, Wang G: A general scheme for velocity tomography. Signal Processing, 88:1165-1175, 2008 [PMCID: PMC2390863]
179. PDF Yang L, Lu Y, Wang G, Compressed sensing inspired image reconstruction from overlapped projections, International Journal of Biomedical Imaging, vol. 2010, Article ID 284073, 8pg., 2010 [PMCID: PMC290570]
180. PDF Wei Y, Wang G: New relationship between the divergent beam projection and the Radon transform. Journal of X-ray Science and Technology,19(3):385-401,2011
181. PDF Ye YB, Yu HY, Wang G: Gel’fand-Graev’s reconstruction formula in the 3D real space. Med. Phys. 38, S69-75, 2011
182. PDF Xu Q, Mou X, Wang G, Sieren J, Hoffman EA, Yu H: Statistical interior tomography. IEEE Trans. Medical Imaging 30:1116 – 1128, 2011
183. PDF Cong WX, Wang G: X-ray scattering tomography for biological applications. Journal of X-ray Science and Technology 19:219-227, 2011
184. PDF Han WM, Eichholz, JA, Cheng XL, Wang G: A theoretical framework of x-ray dark-field tomography. SIAM Journal on Applied Mathematics 71:1557-1577, 2011
185. PDF Liu BD, Wang G, Ritman EL, Cao GH, Lu JP, Zhou O, Zeng L, Yu HY: Image reconstruction from limited angle projections collected by multi-source interior X-ray imaging systems. PMB 56: 6337-6357, 2011
186. PDF Yu HY, Wang G, Hsieh J, Entrikin D, Ellis S, Liu BD, Carr J: Compressive sensing based interior tomography: Preliminary clinical application. J. Computer Asst. Tomography, 35:762-764, 2011
187. PDF Gao H, Yu HY, Osher S, Wang G: Multi-energy CT based on a prior rank, intensity and sparsity model (PRISM). Inverse Problems 27:115012 (22pp), 2011
188. PDF Wang G, Yu H, Cong W, Katsevich A: Non-uniqueness and instability of ‘Ankylography’. Nature 480:E2–E3(doi:10.1038/nature10635) 30 November 2011
189. PDF Wang G, Zhang J, Gao H, Weir V, Yu HY, Cong WX, Xu XC, Shen HO, Bennett J, Wang Y, Vannier MW: Omni-tomography/multi-tomography – Integrating multiple modalities for simultaneous imaging. arXiv:1106.2124v1, June 12 2011
190. PDF Yang J, Yu H, Jiang M, Wang G: High order total variation minimization for interior SPECT. Inverse Problems 28:015001(24pp), 2012
191. PDF Yang L, Zhao J, Wang G: Few-view image reconstruction with dual dictionaries. Phys. Med. Biol., 57:173–189, 2012
192. PDF Lu Y,Yang Z, Zhao J, Wang G: TV-based image reconstruction of multiple objects in fixed source detector geometry, J. X-ray Science & Technology, 20(3):277-89, 2011.
193. PDF Cong W, Pfeiffer F, Bech M, Wang G: X-ray dark-field imaging: Modeling and reconstruction. Arxiv 1003-2155 2011
194. PDF Ye I, Wang G: Tetrahedron-based orthogonal simultaneous scan for cone-beam computed tomography, Opt. Engg Letters,51(8):080502, 3pgs., 2012
195. PDF Jin X, Katsevich A, Yu H, Wang G, Li L, Chen Z: Interior Tomography with continuous singular value decomposition, IEEE Trans. Medical Imaging, Vol.31 (11), pp: 2108-2119, 2012
196. PDF Xu Q, Yu HY, Mou XQ, Zhang L, Wang G: Low-dose X-ray CT reconstruction via dictionary learning,IEEE Trans. Medical Imaging, 31(9):1682-97, 2012
197. PDF Liu B, Bennett JR, Wang, DeMan B, Zeng K, Yin Z, Fitzgerald P, Yu H: Completeness Map evaluation for candidate next generation cardiac CT Architectures, Medical Physics, 39(5):2405-16, 2012
198. PDF He P, Yu HY, Thayer P, Jin X, Xu Q, Bennett J, Tappenden R, Wei B, Goldstein A, Renaud P, Butler A, Butler P, Wang G; Preliminary experimental results from a MARS Micro-CT system. J. X-ray Science & Technology, 20(2):199-211, 2012
199. PDF Cong W, Wang G: X-ray Dark field Imaging: Modeling and reconstruction, J. Optical Society America, Vol. 29, Issue 6, pp. 908-912, 2012
200. PDF Cong W,Yang J,Wang G: Differential Phase contrast interior tomography, PMB 57:2905-2914,2012
201. PDF Cong W, Momose A, Wang G: Fourier Transform Based iterative method for differential phase contrast CT, Optic Letters,37:1784-1786,2012
202. PDF Yang J, Cong W, Jiang M, Wang G: Theoretical Study on high-order interior tomography, J. X-ray Science & Technology, Vol.20, No.4, pp. 423-436, 2012
203. PDF Katsevich E, Katsevich A, Wang G : Stability of interior problem for polynomial ROI, Inv. Problems (pp) 065022 28pg., 2012
204. PDF He P, Wei B, Cong W, Wang G: Optimization of K-Edge Imaging with Spectral CT, Med. Phys. 39: 6572-79, 2012
205. PDF Assessment of morphometry of Pulmonary Acini in mouse lungs by non-destructive imaging using multiscale microcomputed tomography, Proc. Nat. Acad Sc, 109(42):17105-10, 2012
206. PDF Zhao B, Ding HJ, Lu Y, Wang G, Zhao J, Molloi S: Dual-dictionary learning based iterative reconstruction method in image reconstruction of spectral computed tomography. PMB, 57(24):8217-8229 2012
207. PDF Yang J, Yu H, Jiang M, Wang G: High-order total variation minimization for interior SPECT, Inverse Problems 28 015001, 24 pg.,2012
208. PDF Yu HY, Wang G: Finite detector based projection model for high spatial resolution. J.X-ray Science & Technology, 20(2): 229-238, 2012
209. PDF McCollough CH, Hong G, Kalender W, Leng S, Samel E, Taguchi K, Wang G, Yu L, Pettigrew R: Achieving routine Sub-mSv CT scanning: Management of Radiation Dose in CT. Radiology, 264(2):567-80, 2012
210. PDF Xu Q, Yu H, Bennet JR, Peng H, Wang G et. al.: Image Reconstruction for Hybrid True-Color Micro-CT, IEEE Trans. Med. Imaging, Vol.59(6),2012
211. Cong WX, Wang G: X-ray dark-field imaging: Modeling and reconstruction. Journal of the Optical Society of America A 29:908-912, 2012
212. Cong WX, Yang JS, Wang G: Differential phase-contrast interior tomography. Phys. Med. Biol. 57: 2905–2914, 2012
213. Cong WX, Momose A, Wang G: Fourier-transform-based iterative method for differential phase-contrast computed tomography. Optics Letters 37:1784-1786, 2012 (selected for publication in the Virtual Journal for Biomedical Optics (VJBO), http://vjbo.osa.org/virtual_issue.cfm)
214. Yang JS, Cong WX, Jiang M, Wang G: Theoretical study on high order interior tomography. Journal of X-ray Science and Technology 20:423-436, doi:10.3233/XST-2012-00349, 2012
215. Katsevich G, Katsevich A, Wang G: Stability of the interior problem with polynomial attenuation in region of interest. Inverse Problems 28:065022 (28pp), 2012
216. He P, Wei B, Cong WX, Wang G: Optimization of K-edge imaging with spectral CT. Med. Phys. 39:6572-6579, http://dx.doi.org/10.1118/1.4754587, 2012
217. Vasilescu DM, Gao ZY, Saha PK, Yin LL, Wang G, Ochs M, Haefeli-Bleuer B, Weibel ER, Hoffman EA: Non-destructive assessment of the architecture of pulmonary acini in mouse lung by multi-scale micro-computed tomography: Morphometry of acini in young and dld mice. PNAS, 109:17105-10, doi: 10.1073/pnas.1215112109, 2012
218. Yu HY, Xu Q, He P, Bennett J, Mou XQ, Wei B, Butler A, Butler P, Wang G: Medipix-based Spectral Micro-CT (invited review) CTTA 21(4):583-596, 2012
219. Zhao B, Ding HJ, Lu Y, Wang G, Zhao J, Molloi S: Dual-dictionary learning based iterative reconstruction method in image reconstruction of spectral breast computed tomography. PMB, 57(24):8217-8229 2012
220. Li L, Chen ZQ, Wang G, Chu JY, Jiang DR, Gao H: Comparative studies on image quality using CS-based MECT methods. Journal of X-ray Science and Technology (pending)
221. Chang M, Li L, Chen ZQ, Xiao YS, Zhang L, Wang G: A few-view reweighted sparsity hunting (FRESH) method for CT image reconstruction. Journal of X-ray Science and Technology 21:161-176, 2013
222. Vasilescu DM, Klinge C, Knudsen L, Yin L, Wang G, Weibel ER, Ochs M, Hoffman EA: Stereological assessment of mouse lung parenchyma via non-destructive multi-scale micro-CT imaging validated by light microscopic histology. To appear in Journal of Applied Physiology, 2013
223. Li J, Miao C, Shen Z, Wang G, Yu H: Robust frame based x-ray CT reconstruction. To appear in Inverse Problems
224. Wang G, Yu H: Meaning of interior tomography. Phys. Med. Biol. 58:R161–R186 (Invited topical review), 2013
225. Liu FL, Wang G, Cong WX, Hsieh S, Pelc N: Dynamic bowtie for fan-beam CT. Journal of X-ray Science and Technology, 2013
226. Sharma KS, Holzner C, Vasilescu DM, Jin X, Narayanan S, Agah M, Hoffman E, Yu HY, Wang G: Scout-view assisted interior micro-CT. Phys. Med. Biol. 58:4297-4314, 2013
227. He P, Wei B, Wang S, Stock SR, Yu H, Wang G: Piecewise-constant-model- based interior tomography applied to dentin tubules. Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 892451, 8 pages, 2013. doi:10.1155/2013/892451
228. Monsegue N, Jin X, Echigo T, Wang G, Murayama M: Three-dimensional characterization of iron oxide (a-Fe2O3) nanoparticles: Application of a compressed sensing inspired reconstruction algorithm to electron tomography. Microscopy and Microanalysis (December):1-6doi:http://dx.doi.org/10.1017/S1431927612013530, 2012
229. Bharkhada D, Yu H, Zou Y, Wang G: Comparative studies on the constraints for interior tomography in a POCS framework. Pending revision.
230. Cao G, Liu BD, Gong H, Ghasemalizadeh O, Yu H, Wang G: A multi-source cardiac CT architecture for fast temporal resolution and low radiation dose. PMB (pending)
231. Liu BD, Yu H, Verbridge S, Sun L, Wang G: Dictionary learning based reconstruction method for electron tomography, Scanning 36:377-383, 2014
232. Liu BD, Wang G, DeMan B, Krupinski E, Yu HY: An RIP-based data completeness evaluation method for cardiac CT architectures with carbon nanotube x-ray sources. Computerized Medical Imaging and Graphics (pending)
233. Wang G, Liu F, Liu FL, Cao GH, Gao H, Vannier MW: Marriage of CT and MRI for vulnerable plaque characterization. Imaging Med. 5:95–97, 2013
234. Cong WX, Shen HO, Cao GH, Liu H, Wang G: X-ray fluorescence tomographic system design and image reconstruction. Journal of X-ray Science and Technology 21:1-8, 2013
235. Sharma KS, Jin X, Holzner C, Narayanan S, Liu BD, Wang D, Agah M, Wang LB, Yu HY, Wang G: Experimental studies on few-view reconstruction for high-resolution micro-CT. Journal of X-ray Science and Technology 21:25-42, 2013
236. He P, Yu HY, Bennett J, Ronaldson P, Zainon R, Butler A, Butler P, Wei B, Wang G: Energy-discriminative performance of a spectral micro-CT system. Journal of X-ray Science and Technology 21:335-345, 2013
237. Chu JY, Li L, Cong WX, Wang G: Combination of current-integrating/photon-counting detector modules for spectral CT. Phys. Med. Biol. 58:7009-7024, 2013
238. Bennett J, Opie AMT, Xu Q, Yu HY, Walsh M, Butler A, Butler P, Cao GH, Mohs A, Wang G: Hybrid spectral micro-CT: System design, implementation & preliminary results. IEEE Trans. Biomedical Engineering 61:246-253, 2014
239. Liu F, Yu H, Cong WX, Wang G: Top-level design and pilot analysis of low-end CT scanners based on linear scanning for developing countries. Journal of X-ray Science and Technology 22:673-686, 2014
240. Opie AMT, Bennett J, Walsh M, Rajendran K, Yu HY, Xu Q, Butler A, Butler P, Cao GH, Mohs A, Wang G: Study of scan protocol for exposure reduction in hybrid spectral micro-CT. Scanning 36:444-455, 2014
241. Zhang SL, Zhang DH, Gong H, Ghasemalizadeh O, Wang G, Cao GH: Fast and accurate computation of system matrix for area integral model based ART. To appear in Optical Engineering, 2014
242. FitzGerald P, Bennett J, Carr J, Edic P, Entrikin D, Gao H, Iatrou M, Jin Y, Liu BD, Wang G, Wang J, Yin YN, Yu HY, Zeng Z, De Man B: Selecting a CT system architecture specifically for cardiovascular imaging. PLoS One, pending
243. Li L, Chen ZQ, Cong WX, Wang G: Spectral CT imaging with hybrid detectors in dynamic-threshold counting and integrating modes. IEEE Trans. Medical Imaging, pending revision, 2014
244. Meng B, Cong WX, De Man B, Wang G: Energy window optimization for x-ray K-edge tomographic imaging. IEEE Trans. Biomedical Engineering, pending review, 2014
245. Liu FL, Yang QS, Cong WX, Wang G: Dynamic bowtie filter for multi-slice/cone-beam CT. PLoS ONE 9(7):e103054, doi:10.1371/journal.pone.0103054, 2014
246. Yu HY, Wang G: SART-type half-threshold filtering approach for CT reconstruction. To appear in IEEE Access, 2014
247. Li L, Chen ZQ, Wang G, Chu JS, Gao H: A tensor PRISM algorithm for multi-energy CT reconstruction and comparative studies. Journal of X-ray Science and Technology 22:147-163, 2014
248. Xi Y, Zhao J, Bennett J, Sinusas A, Wang G: Simultaneous CT-MRI Image Reconstruction with Structural Coupling and Compressive Sensing. IEEE Trans. Medical Imaging (under review), 2014
249. Cao GH, Liu BD, Gong H, Ghasemalizadeh O, Yu HY, Wang G: A multi-source cardiac CT architecture for fast temporal resolution and low radiation dose. To appear in IEEE Access, 2014
250. Yelleswarapu VR, Liu FL, Cong WX, Wang G: Top-level system designs for hybrid low-field MRI-CT with potential of pulmonary imaging. To appear in Sensing and Imaging, 2014
251. Li L, Chen ZQ, Cong WX, Wang G: Spectral CT modeling and reconstruction with hybrid detectors in dynamic-threshold-based counting and integrating modes. To appear in IEEE TMI, 2014
252. Neculaes B, Edic P, Frontera M, Caiafa A, Wang G, De Man B: Promise of distributed sources – CT and beyond: lessons learned and future outlook. To appear in IEEE Access, 2014
253. Cong WX, Wang G: Second order x-ray in-line phase-contrast imaging. Medical Physics, pending review
254. Yang Lu, Zhao J, Zhuang TG, Wang G: Unified dual-modality image reconstruction with dual dictionaries. To appear in IEEE Access, 2014
255. Yu H, Wang G, Yang JS, Pack J, Jiang M, DeMan B: Data Consistency Condition for Truncated Projections in Fan-beam Geometry. Pending review, 2014
256. Zhang Y, Xi Y, Yang QS, Cong WX, Zhou J, Wang G: Spectral CT reconstruction with image sparsity and spectral means. IEEE Trans. Biomedical Engineering, Pending review, 2014
257. Sharma KS, Gong H, Ghasemalizadeh O, Yu HY, Wang G, Cao GH: Interior micro-CT with an offset detector. Med. Phys. 41:061915(1-10), 2014
258. Tan SQ, Zhang YB, Wang G, Mou XQ, Cao GH, Wu ZF, Yu HY: Tensor based adaptive dictionary learning for dynamic computed tomography reconstruction. Pending review, 2014
259. Xi Y, Cong WX, Wang G: A heuristic investigation on phase-contrast imaging with quasi-periodic gratings. Pending review, JMASS, 2014
260. Cao GH, Liu BD, Gong H, Yu HY, Wang G: A stationary-sources and rotating-detectors computed tomography architecture for higher temporal resolution and lower radiation dose. DOI10.1109/ACCESS.2014.2363367, IEEE Access, 2014
261. Lv Y, Zhao J, Wang G: Edge-guided dual-modality image reconstruction. To appear in IEEE Access, 2014
262. Yang QS, Lv Y, Xi Y, Kalra M, Cong WX, Wang G: Sinogram-based attenuation correction in PET/CT. Pending review, 2014
263. Wang G, Kalra M, Vannier MW: Simultaneous CT-MRI: Next chapter of multi-modality imaging. Med. Phys., invited perspective article, pending review, 2014

 

Diversified Work

1. PDF Li WH, Wang G: An ALU architecture improving multiplication operation. Journal of Beijing Microcomputers 4:76-82, 1987
2. PDF Wang G, Wei YR: Exploration on the graduate course objective examination. Journal of Graduate School of Academia Sinica 5:93-95, 1988
3. PDF Li WH, Wang B, Wang G: A preliminary study on linear transform of slowly changing data. Journal of Xidian University of China 2:62-70, 1988
4. PDF Wang G, Ding Y: English multiple-choice test modeling and analysis. Journal of Mathematics in Practice and Theory 2:17-21, 1989
5. PDF Wang G, Nunez M: A new method of estimating path radiance for band ratio application. International Journal of Remote Sensing 13:527-539, 1992
6. PDF Wang G, Vannier MW, Skinner MW, Kalender WA, Polacin A, Ketten DR: Unwrapping cochlear implants by spiral CT. IEEE Transactions on Biomedical Engineering 43:891-900, 1996
7. PDF Vannier MW, Marsh JL, Wang G, Christensen GE, Kane AA: Surgical imaging systems. Surgical Technology International 5:35-42, 1996
8. PDF McFarland EG, Brink JA, Loh J, Wang G, Balfe DM, Heiken JP, Vannier MW: Visualization of colorectal polyps with spiral CT colonography: Evaluation of processing parameters with perspective volume rendering. Radiology 205: 701-707, 1997
9. PDF McFarland EG, Wang G, Brink JA, Balfe DM, Heiken JP, Vannier MW: Central axis determination and digital unraveling of the colon for spiral CT colography. Academic Radiology 4:367-373, 1997
10. PDF Kao SC, Wang G: Radiologic volumetry on a personal computer using a stereological method. Academic Radiology 5:665-669, 1998
11. PDF Ketten DR, Skinner MW, Wang G, Vannier MW, Gates GA, Neely JG: In vivo measures of cochlear length and Nucleus Cochlear Implant Array insertion depth. Annals of Otology, Rhinology, and Laryngology 175:1-16, 1998
12. PDF Wang G, McFarland EG, Brown BP, Vannier MW: GI tract unraveling with curved cross-sections. IEEE Transactions on Medical Imaging 17:318-322, 1998 (patent issued)
13. PDF Liu H, Wang G, Xue F, Fajardo LL: Adaptive image interpolation for full-field digital X-ray mammography. Applied Optics 38:253-257, 1999
14. PDF Liu H, Wang G, Chen JH, Fajardo LL: Interpolation algorithms for digital mammography systems using multiple detectors. Academic Radiology 6:170-175, 1999
15. PDF Valev V, Wang G, Vannier MW: Techniques for CT colonography (virtual colonoscopy). Critical Reviews in Biomedical Engineering 27:1-25, 1999
16. PDF Dave SB, Wang G, Brown BP, McFarland EG, Zhang Z, Vannier MW: Straightening the colon with curved cross sections – A novel approach to computed tomographic colography. Academic Radiology 6:398-410, 1999
17. PDF Wang G, Han W: Minimum error bound of signal reconstruction. IEEE Signal Processing Letters 6:309-311, 1999
18. PDF Jiang H, Liu H, Wang G, Chen W, Fajardo LL: A localization algorithm and error analysis for stereo X-ray image guidance. Medical Physics 27:885-893, 2000
19. PDF Zhang Z, Wang G, Brown BP, McFarland EG, Haller J, Vannier MW: A fast algorithm for soft straightening of the colon. Academic Radiology 7:142-148, 2000
20. PDF Yoo SK, Wang G, Rubinstein JT, Skinner MW, Vannier MW: Three-dimensional modeling and visualization of the cochlea on the Internet. IEEE trans. on Information Technology in Biomedicine (Special Issue on Multimedia Information Technology in Biomedicine) 4:144-151, 2000
21. PDF Yang SY, Wang G, Skinner MW, Rubinstein JT, Vannier MW: Localization of cochlear implant electrodes in radiographs. Medical Physics 27:775-777, 2000
22. PDF Wang G, Skinner MW, Rubinstein JT, Howard MA, Vannier MW: Digital X-ray stereophotogrammetry for cochlear implantation. IEEE Transactions on Biomedical Engineering 47:1120-1130, 2000
23. PDF Xu F, Liu H, Wang G, Alford B: Comparison of adaptive and conventional linear interpolation algorithms and their application in digital radiography. Electronic Imaging 9:22-31, 2000
24. PDF Zhang Z, Wang G, Brown BP, Vannier MW: Distortion reduction for fast soft straightening of the colon. Academic Radiology 7:506-515, 2000
25. PDF Yoo SK, Wang G, Rubinstein JT, Vannier MW: Three-dimensional geometric modeling of the cochlea using helico-spiral approximation. IEEE Transactions on Biomedical Engineering 47:1392-1402, 2000
26. PDF Liu H, Wang G: Design of a dual CCD configuration to improve the signal-to-noise ratio. Medical Physics 27:2435-2437, 2000
27. PDF Wang G: Book review on Handbook of medical imaging – processing and analysis (edited by Isaac N. Bankman et al., Academic Press, 2000). IEEE Transactions Medical Imaging 20:249-250, 2001
28. PDF Vannier MW, Wang G: Book reviews, NIBIB, and IOM breast cancer report. IEEE Transactions on Medical Imaging 20:145-146, 2001
29. PDF Yoo SK, Wang G, Rubinstein J, Vannier MW: Semi-automatic segmentation of the cochlea using real-time volume rendering and regional adaptive snake modeling. Journal of Digital Imaging 4:173-181, 2001
30. PDF Jiang H, Chen WR, Wang G, Liu H: Localization error analysis for stereo x-ray image guidance with probability method. Medical Engineering and Physics 23:573-581, 2001
31. PDF Christensen GE, He J, Dill JA, Rubinstein JT, Vannier MW, Wang G: Automatic measurement of the labyrinth using image registration and a deformable inner ear atlas. Academic Radiology 10:988-999, 2003
32. PDF Liu H, Sun LZ, Wang G, Vannier MW: Analytic modeling of breast elastography. Medical Physics 30:2340-2349, 2003
33. PDF Yin HM, Sun LZ, Wang G, Vannier MW: Modeling of elastic modulus evolution of cirrhotic human liver. IEEE Transactions Biomedical Engineering 51:1854-1856, 2004
34. PDF Yoo SK, Wang G, Collison F, Rubinstein JT, Vannier MW, Kim HJ, Kim NH: Three-dimensional localization of cochlear implant electrodes using epipolar stereophotogrammetry. IEEE Transactions Biomedical Engineering 51:838-846, 2004
35. PDF Hoffman EA, Clough AV, Christensen GE, Lin C, McLennan G, Reinhardt JM, Simon BA, Sonka M, Tawhai MH, van Beek EJ, Wang G: Forum for team science targeted towards a comprehensive imaging-based analysis of the lung. Academic Radiology 11:1370-80, 2004
36. PDF Yin HM, Sun LZ, Wang G, Yamada T, Wang J, Vannier MW: ImageParser: a tool for finite element generation from three-dimensional medical images. BioMedical Engineering Online 2004 3:31 (http://www.biomedical-engineering-online.com/content/3/1/31)
37. PDF Wang G: Review of the book Mathematical Techniques in Multisensor Data Fusion by David L. Hall and Sonya A. H. McMullen. Biomedical Engineering Online 4:23, 2 pg., 2005
38. PDF Wang G: Review of the book Electrical impedance tomography edited by David S. Holder. Biomedical Engineering Online 4:27, 2 pg., 2005 (http://www.biomedical-engineering-online.com/content/4/1/27)
39. PDF Liu Y, Sun LZ, Wang G: Tomography-based 3-D anisotropic elastography using boundary measurements. IEEE Transactions Medical Imaging 24:1323-1333, 2005
40. PDF Wang G: Editorial for the Inaugural Issue: Features and Perspectives. International Journal of Biomedical Imaging 2006:Article ID 81409, 2 pg 2006
41. PDF Wang ZG, Sun LZ, Wang G, Fajardo LL: Elasto-mammography: Theory, Algorithm, and Phantom Study. International Journal of Biomedical Imaging 2006:Article ID 53050, 11 pg, 2006
42. PDF Sun YH, Wu PR, Wei GW, Wang G: Evolution operator based single-step method for image processing. International Journal of Biomedical Imaging 2006:Article ID 83847, 27 pg, 2006
43. PDF Liu Y, Wang G, Sun LZ: Anisotropic elastography for local passive properties and active contractility of myocardium from dynamic heart imaging sequence. International Journal of Biomedical Imaging International Journal of Biomedical Imaging 2006, Article ID 45957, 15 pg, 2006
44. PDF Zhao J, Cao L, Zhuang T, Wang G: Digital Eversion of Hollow structure – An application in Virtual colonography, ID 763028, 6 pg., International Journal of Biomedical Imaging, 2008
45. PDF Wang ZG, Liu Y, Wang G, Sun LZ: Elastography method for reconstruction of nonlinear breast tissue properties. International Journal of Biomedical Imaging, Volume 2009, Article ID 406854, 9 pg, 2009 [PMCID: PMC2709722]
46. PDF Xu Y, Wei Y, Wang G: Temperature-Change based thermal tomography, International Journal of Biomedical Imaging, ID:464235 doi:10.1155/2009/464235, 2009
47. PDF Cai Z, Bai E, McCabe R, Zerhouni M, Wang G, Raghavan M, Kratzberg J: Dynamical Arterial Tree phantom for studies of bolus chasing CT angiography, International J. Biomedical Engineering & Technology, 2010
48. PDF Li L, Chen ZQ, Xin J, Yu H, Wang G: Experimental studies of head motion effect for high resolution CT imaging. Optical Engineering 49:063201-1-6, 2010
49. PDF Yang J, Yu H, Jiang M, Wang G: High order total variation minimization for interior SPECT. Inverse Problem, 26(3),35013:1-29, 2010 [PMCID: PMC2857378]
50. PDF Wang G, Bresler Y, NtziaChristos V: Compressive Sensing in Medical Imaging. IEEE Trans. in Med. Imaging 30:1013-1016, 2011
51. PDF Chen L, Choyke P, Chan T, Chi C, Wang G: Tissue Specific compartmental analysis for dynamic contrast enhanced MR Imaging of complex tumors, IEEE Trans. Med. Imaging,30:2044-2058, 2011
52. PDF Chen L, Choyke PL, Chan TH, Chi CY, Wang G, Wang Y: CAM-CM: A signal deconvolution tool for in vivo dynamic contrast-enhanced imaging of complex tissues. Bioinformatics, Bioinformatics 27:2607-2609, 2011
53. PDF Wang ZG, Liu Y, Wang G, Sun LZ: Nonlinear elasto-mammography for characterization of breast tissue properties. International Journal of Biomedical Imaging 2011:Article ID 540820 (10pp), doi:10.1155/2011/540820, 2011
54. PDF Schiffbauer JD, Xiao SH, Sharma KS, Wang G: The origin of intracellular structures in Ediacaran metazoan embryos. Geology 40: 223-226,doi:10.1130/G32546.1 Published online: 23-Jan-2012(Cover)
55. PDF Mishra S, Sharma KS, Lee SJ, Fox EA, Wang G: SLATE: Virtualizing Multi-scale CT, J. X-ray Science & Technology, 20(2):239-48, 2012
56. Yang JS, Vannier MW, Wang F, Deng Y, Ou F, Bennett J, Liu Y, Wang G: A bibliometric analysis of academic publication and NIH funding. Journal of Informetrics 7:318-324, 2013
57. Broce J, Schiffbauer JD, Sharma KS, Wang G, Xiao SH: Animal embryo fossils from the early Cambrian Yanjiahe formation, Hubei Province, South China. Journal of Paleontology, 2013
58. Bennett JR, Lane J, Wang G: Enterprise content management for academic research. International Journal of Engineering and Innovative Technology 3(6)1-11, 2013
59. Broce J, Schiffbauer JD, Sharma KS, Wang G, Xiao SH: Possible animal embryos from the lower Cambrian (Stage 3) Shuijingtuo formation, Hubei Province, South China. To appear in Journal of Paleontology, 2014
60. Liu Y, Wang G, Sun LZ: Elastography method to identify material distribution in two-phase nonlinear media. To appear in J. Eng. Mech., 2014
61. Yang QS, Cong WX, Wang G: Attenuation map reconstruction from TOF PET data. Pending revision
62. Chen L, Choyke PL, Wang N, Clarke R, Bhujwalla ZM, Hillman EMC, Wang G, Wang Y: Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity and repopulation dynamics. PLoS ONE 9(11):e112143. doi:10.1371/journal.pone.0112143, 2014

 

Books

1. Cheng PC, Huang PP, Wu JL, Wang G, Kim HG (Editors): Focus on multidimensional microscopy (I) – Instrumentation and Image Processing, World Scientific, Singapore, 1999 (ISBN 981-02-3991-2)
2. Cheng PC, Huang PP, Wu JL, Wang G, Kim HG (Editors): Focus on multidimensional microscopy (II) – Biological and Material Applications, World Scientific, Singapore, 1999 (ISBN 981-02-3992-0)
3. Yair Censor, Ming Jiang, Ge Wang (Editors): BIOMEDICAL MATHEMATICS: Promising Directions in Imaging, Therapy Planning, and Inverse Problems, Medical Physics Publishing, Madison, 2010 (ISBN 978-1-930524-48-4)

Special Issues

1. Wang G, Crawford CR, Kalender WA (Guest Editors): Multi-row-detector spiral/helical CT. Special issue of IEEE Trans. Medical Imaging, September, 2000
2. Liu H, Wang G, Brill A, Flowers C: Medical applications of modern imaging technologies. Special issue of Journal of X-ray Science & Technology 10(1), 2002
3. Wang G, Jaszczak R, Basilion J (Guest Editors): Molecular imaging. Special issue of IEEE Trans. Medical Imaging, July, 2005
4. Ni J, Yu HY, Wang G: Computations & Biomedical Engineering: Medical Imaging and Medical Data Processing. Special issue of Int. Journal of Computational Science and Engineering, 2007
5. Wei GW, Wang G: Recent advances in computational techniques for biomedical imaging, Communication in Numerical Methods in Engineering, 2008
6. Wang G, Bresler Y, Ntziachristos V (Guest Editors): Compressive sensing for biomedical imaging. Special issue of IEEE Trans. Medical Imaging, 2010
7. Wang G, Butler A, Yu HY, Campbell M (Guest Editors): Spectral CT. Special issue of IEEE Trans. Medical Imaging, 2014
8. Yu HY, Mou XQ, Wang G: Emerging Computed Tomography Technologies. IEEE Access, 2014
9. Jiang M, Arridge S, Li S, Wang G: Hybrid imaging and image fusion. Sensing and Imaging, 2014

Chapters

1. Cheng PC, Acharya R, Lin TH, Samarabandu JK, Wang G, Shinozaki DM, Berezney R, Meng CL, Tarng WH, Liou WS, Tan TC, Summers RG, Kuang H, Musial C: 3-D image analysis and visualization in light microscopy and X-ray microtomography (Chap. 13). In Visualization in biomedical microscopies, ed. Kriete A, VCH Publisher, Weinheim, 361-398, 1992
2. Wang G, Lin TH, Shinozaki DM, Kim HG, Cheng PC: Cone-beam X-ray microtomography (Chap. 9). In Multidimensional Microscopy, eds. Cheng, PC, T.H. Lin, W.L. Wu & J.L. Wu, Springer-Verlag, New York, 151-169, 1993
3. Wang, G., W.S. Liou, T.-H. Lin & P.C. Cheng. Image restoration in light microscopy (Chap. 11). In Multidimensional Microscopy, eds. Cheng, PC, T.H. Lin, W.L. Wu & J.L. Wu, Springer-Verlag, New York 191-208, 1994
4. Cheng PC, Pareddy DR, Lin TH, Samarabandu JK, Acharya R, Wang G, Liou WS: Confocal microscopy of botanical specimens (Chap. 19). In Multidimensional Microscopy, eds. Cheng, PC, T.H. Lin, W.L. Wu & J.L. Wu, Springer-Verlag, New York, 339-380, 1993
5. Vannier MW, Wang G: Principles of spiral CT (Chap. 1). In Spiral CT of the Chest, eds. Remy-Jardin M, Remy J, Springer-Verlag, New York, 1-32, 1996
6. Wang G, Zhao SY, Cheng PC: Exact and approximate cone-beam X-ray microtomography (Chap. 1). In Focus on multidimensional microscopy (I), eds. Cheng PC, Huang PP, Wu JL, Wang G, Kim HG, World Scientific, Singapore, 233-261, 1999
7. Wang G, Vannier MW: Computerized tomography. In Encyclopedia of Electrical and Electronics Engineering, ed. Webster JG, John Wiley & Sons, vol. 4, 8-24, 1999
8. Rockett P, Wang G: The principles of X-ray computed tomography. Standard Handbook of Biomedical Engineering and Design, Editor in Chief Myer Kutz, McGraw-Hill, ISBN 0-07-135637-1, pg. 26.1-26.52, 2003
9. Lv DH, Bai EW, Wang G: Computed tomography. Wiley Encyclopedia of Biomedical Engineering, edited by Dr. Metin Akay, John Wiley & Sons, Inc., 2005
10. Tang XY, Wang G: Computed tomography simulators. To appear in Encyclopedia of Medical Devices and Instrumentation, edited by Dr. John Webster, John Wiley & Sons, 2005
11. Ming Jiang, Ge Wang and Yi Li Y: Inverse problems in bioluminescence tomography, to appear in Frontier and Prospect of Contemporary Applied Mathematics, in the Series in Contemporary Applied Mathematics (Editors: P. G. Ciarlet and Tatsien Li). Higher Education Press (Beijing) & World Scientific, 2005
12. Jiang M, Wang G: Uniqueness results for multi-spectral bioluminescence tomography. Mathematical Methods in Biomedical Imaging and Intensity-Modulated Radiation Therapy (IMRT)’ (Editors: Censor Y, Jiang M, Louis AK), Edizioni della Normale, Pisa, Italy, 153-184, 2008
13. Wang G, Cong WX, Yu HY: Development of x-ray computed tomography and bioluminescence tomography. Mathematical Methods in Biomedical Imaging and Intensity-Modulated Radiation Therapy (IMRT)” (Editors: Censor Y, Jiang M, Louis AK), Edizioni della Normale, Pisa, Italy, 425-446, 2008
14. Amin AR, Wang G: Identification and characterization of transcriptome-based biomarkers in arthritis and cancer for personalized medicine by translational genomics. Biomedical Mathematics: Promising Directions in Imaging, Therapy Planning and Inverse Problems (Editors: Censor Y, Jiang M, Wang G), Medical Physics Publishing, Madison, WI, USA, 19-32, 2010
15. Jiang M, Wang G: Mathematical theory for x-ray phase-contrast imaging with 2D grating interferometry. Biomedical Mathematics: Promising Directions in Imaging, Therapy Planning and Inverse Problems (Editors: Censor Y, Jiang M, Wang G), Medical Physics Publishing, Madison, WI, USA, 201-220, 2010
16. Wang G, Yu HY, Ye YB: Interior tomography: Practical applications. Biomedical Mathematics: Promising Directions in Imaging, Therapy Planning and Inverse Problems (Editors: Censor Y, Jiang M, Wang G), Medical Physics Publishing, Madison, WI, USA, 495-508, 2010
17. Ye YB, Yu HY, Wang G: Interior tomography: Mathematical analysis. Biomedical Mathematics: Promising Directions in Imaging, Therapy Planning and Inverse Problems (Editors: Censor Y, Jiang M, Wang G), Medical Physics Publishing, Madison, WI, USA, 543-561, 2010
18. Shen H, Goldstein AS, Wang G: Biomedical imaging and image processing in tissue engineering. The Tissue Engineering Book: State of the Art, Visions, and Limitations. Springer Science + Business Media, 2010
19. Shen H, Cong W, Xu Y, Rylander C, Rylander MN, Furth M, Christ GJ, Lee SJ, Geary RL, Yoo JJ, Soker S, Wang G: Optical molecular tomography for regenerative medicine. The Handbook of Enabling Technologies for Regenerative Medicine, Artect House, 2010
20. Li L, Chen ZQ, Wang G: Reconstruction algorithms. Cone Beam Computed Tomography (Editor: C. C. Shaw). Series: Imaging in Medical Diagnosis and Therapy (WR Hendee, Series Editor), Taylor & Francis, 2011
21. Wang G, Hao G, Zhang J, Weir V, Xu XC, Cong A, Bennett J: Medical Imaging (a section on omni-tomography in this chapter). Biomedical Engineering Education and Advanced Bioengineering Learning: Interdisciplinary Concepts (Editor: Abu-Faraj, Ziad O), IGI GLOBAL, Hershey, PA, USA, 2011
22. Cai JF, Bai EW, Wang G: Dose Reduction on Computed Tomography Angiography Using Adaptive Control Techniques. Computed Tomography – Clinical Applications (Editor: Luca Saba), InTech, Rijeka, Croatia, 2012
23. Lv YJ, Wang G: Preclinical optical molecular imaging. Multimodality Molecular Imaging of Small Animals: Instrumentation and Applications (Editor: Habib Zaidi), Springer-Verlag, 2014
24. Li L, Chen ZQ, Wang G: Reconstruction algorithms. Cone Beam Computed Tomography (Editor: Shaw CC), in the series of Imaging in Medical Diagnosis and Therapy (Series Editor: Hendee WR), Taylor & Francis, Boca Raton, FL, 2014
25. Bennett J, Halloran J, Wang G: Hybrid CT-MRI for cardiology. Hybrid Imaging in Cardiovascular Medicine (Editors: Yi-Hwa Liu and Albert Sinusas), CRC Press, 2014
26. Xu Q, Yu HY, Wang G, Mou XQ: Dictionary Learning Based Low-dose X-ray CT Reconstruction. Frontiers of Medical Imaging (Editor: Dr. Chi Hau Chen), World Scientific, 2014

 

Patents

1. Wang G, Snyder DL, O’Sullivan JA, Cheng PC, Vannier MW: Iterative algorithms for cone-beam tomography from incomplete data. US patent, 5,909,476, 1999
2. Wang G, Schweiger GD, Vannier MW: An iterative algorithm for x-ray CT fluoroscopy. US patent, 6,101,236, 2000 (http://www.google.com/patents/US6101236)
3. Wang G, McFarland EG, Brown BP, Zhang Z, Vannier MW: GI tract unraveling with curved cross-sections. US patent, 6,212,420, 2001
   Wang G, Hoffman EA, McLennan G: Bioluminescent CT method and apparatus. Patent disclosure filled in July 2002; US provisional application filled in March 2003; US patent application, 10/791,140, filed on 03/02/04; allowed on 08/17/11 (http://www.google.com/patents/US8090431)
4. Wang G, Vannier MW: Bolus-chasing angiography with adaptive real-time computed tomography. US patent, 6,535,821, 2003
5. Hsieh J, Wang G: A progressive updating approach for volumetric CT image reconstruction and its clinical applications. US patent, 6,850,585, 2005
6. Wang G, Hsieh J, Wei YC: Methods, apparatus, and computer readable mediums for performing perfusion studies. US patent, 6,934,353, 2005 (http://www.google.com/patents/US6934353)
7. Heuscher DJ, Zhao S, Matthews D, Wang G: Knowledge-based dynamic computed tomography imaging. US patent, 7,058,440, 2006
   Wang G, Cong A, Han WM, Jiang M, Shen HO, Cong WX: Systems and methods for multi-spectral bioluminescence tomography.
8. Patent disclosure filed with Univ. of Iowa Research Foundation in April 2004; provisional application 60/756,036, 02/28/06; US patent, 11/619,495 (http://www.google.com/patents/US20070244395; US Patent # 8,676,302, issued on 03/18/14)
9. Wang G, Li Y, Jiang M, Qian X, Cong WX: Computational optical biopsy methods, techniques and apparatus. US patent application, 11/444,282, 05/31/06 (http://www.google.com.mx/patents/US20070093700)
10. Wang G, Lee SW: Methods and devices for CT reconstruction using a Grangeat approach. US patent, 6,983,034, 2006
11. Wang G, Ye Y: Systems and methods of non-standard spiral cone-beam computed tomography (CT). US patent, 7,373,937, 2008 (http://www.google.com/patents/US7372937)
12. Wei Y, Hsieh J, Wang G: CT image reconstruction through employment of function that describes interpreted movement of source around particular point of object. US patent, 7,376,213, B1, 2008 (http://www.google.com/patents/US7376213)
13. ??,??,???,Wang G: 2N+1? ??CT ? ??????, ??????(???:200610030332.X,???:08/24/06,???:CN1907226A, ???:02/07/07,???:ZL 200610030332.X, ?????:04/22/09)
14. Bai EW, Wang G, Vannier MW: System and method for adaptive bolus chasing computed tomography (CT) angiography. US patent, 7,522,744, 2009 (http://www.google.com/patents/US7522744)
15. Hsieh J, Wei Y, Wang G: Correlation-based motion estimation of object to be imaged. US patent, 7,587,022 B1, 2009 (http://www.google.com/patents/US7587022)
16. Wang G, Ritman E, Yu HY: BIG DIPPER (Biomedical Imaging Group – Dynamic Interior Pulsed Plural-sourcE Rotating-gantry (BIG DIPPER) system). Disclosure filed on 11/22/10, US provisional filed
17. Wang G, Zhao SY: Clinical micro-CT (CMCT) methods, techniques and apparatus. US patent, 7,840,249, 2010 (http://www.google.com/patents/US7840249)
18. Wang G, Zhao J, Lu Y, Yu HY, Katsevich A: Cardiac computed tomography methods and systems using fast exact/quasi-exact filtered back projection algorithms. US patent application, 12/914,790, 10/28/10
19. Wang G, Ye Y, Yu HY: Interior tomography and instant tomography reconstruction from truncated limited angle projection data. US patent, 7,697,658 B2, 04/13/10 (http://www.google.com/patents/US7697658)
20. Rylander C, Campbell TA, Wang G, Xu Y, Kosoglu MA: Fiber array for optical imaging and therapeutics. PCT International Application No: PCT/US2010/025809, 03/01/10; US patent application, 13/203,800, 08/29/11 (allowed on 02/05/14; expected issue date: August 05, 2014)
21. Yu HY, Wang G, Jiang M, Yang JS: Methods for improved single photon emission computed tomography using exact and stable region of interest reconstructions. US patent, 2011/0105880 A1, 05/05/11; allowed on 07/23/14
22. Sun LZ, Liu Y, Wang ZG, Wang G: Method and apparatus for elastomammography. US patent, 8,010,176, 08/30/11
23. Wang G, Xu Y, Cong A, Shen HO, Cong WX, Yang L, Lu Y: Extended interior methods and systems for spectral, optical, and photoacoustic imaging. US patent, 2011/0282181 A1, 2011, US Patent No: 8862206, Expected Issue Date: October 14, 2014
24. Wang G, Cong WX: Multi-parameter x-ray computed tomography methods and systems. US patent, 8,121,249, 02/21/12
25. Wang G, Yu HY: Exact local computed tomography based on compressive sampling. US patent application, 2012/0063659 A1, 03/15/12
26. Wang G: Omni-tomographic imaging for interior reconstruction using simultaneous data acquisition from multiple imaging modalities. Disclosure filed on 04/03/11, US provisional application filed on 04/04/11 (VTIP 11-103, Application 61471245); US patent application, 04/04/12 (Attorney docket number VTIP-52-11103-US)
27. Cao GH, Wang G: System and method of stationary source computed tomography. US patent application, 61/768,192, 02/25/13
28. Wang G, et al.: Omni-tomographic imaging for interior reconstruction using simultaneous data acquisition from multiple imaging modalities. US patent application, 2012/0265050 A1, 10/18/12, PCT/US2013/061049, 2013
29. Wang G, Hoffman EA, McLennan G: Systems and methods for bioluminescent computed tomographic reconstruction. US patent application, 8,428,692, B2, 04/23/13 (http://www.google.com/patents/US8428692)
30. Wang G, Hoffman EA, McLennan G: Systems and methods for bioluminescent computed tomographic reconstruction. US patent application, 13/854,454, 04/01/13
31. Zhang J, Yang L, Wang G, Cong WX: Nonlocal-mean computed tomography reconstruction system. US provisional, 61/780,709, 03/13/13
32. Wang G, et al.: Stereo-, tomosynthetic, and tomographic spectrography. VTIP 12-107, US provisional, 61/892,873, 10/18/13
33. Wang G, et al.: Low-cost computed tomography systems and methods using one or more small-area x-ray detectors. US provisional, 61/892,908, 10/18/13
34. Wang G, Yang JS: Ranking Organizations Academically & Rationally (ROAR). US provisional, 08/02/13
35. Wang G, Cong WX, Li L, Chu JY: Combination of photon-integrating/counting detector moduli for spectral CT. US provisional, 61/814,867, 04/23/13
36. Wang G, Yang JS: Academic ranking with data mining and axiomatic analysis. US patent No. 14/459,899, filed on 08/14/14
37. Tang J, Wang G: Methods and systems for ranking academic units. Provisional patent application #62055703, confirmation #6447, 2014

IP Disclosures at Virginia Tech

http://vtip.livewebdev.com/availableTech/search.php?widget=205

IP Disclosures at RPI

http://rpitechnology.com

Conference Publications

1. Available on Request

News Articles and On-line Presentations

1. Lavery A: First bioluminescent CT prototype is “a new imaging modality”. Clinica World Medical Device & Diagnostic News, page 2, PJB Publications Ltd., Richmond, Surrey, UK, December 17th, 2003 (www.clinica.co.uk)
2. Butkus, B: Instrument enables bioluminescence computed tomography. International Biophotonics, pages 17-18, Laurin Publishing, Pittsfield, MA, USA, February, 2004 (http://www.photonics.com/bio)
3. Wang G: Bioluminescence tomography. Stanford University 2005 MIPS/Philips Medical Molecular Imaging Seminar Series, January 3, 2005 (http://mips.stanford.edu/public/mi_seminar05.adp)
4. Hoff LT: Molecular imaging advance watches tumors grow, shrink. RSNA News, November issue, pages 10-11, 2007; http://www.sbes.vt.edu/pdf/Pages_from_RSNA_News_November2007.pdf
5. Bem S: Bioluminescence tomography development in Virginia Tech. Video clip, MedstarAdvances® Producer, Medstar Television, www.medstar.com, October 2007
6. Newswise (http://www.newswise.com/articles/view/530437): New molecular imaging approach identifies tumors. Released May 31, 2007
7. Bioluminescence tomography (http://www.photonics.com/content/bio/2008/March/journals/92144.aspx), March 2008
   Savage N: Medical imagers lower dose. IEEE Spectrum Magazine, pp. 14-15, March 2010
8. Freiherr G: A new CT generation takes shape: Thinking outside the circle. Diagnostic Imaging, http://www.diagnosticimaging.com/ct/content/article/113619/1555691, April 16, 2010
9. Freeman T: Fluorescence microtomography looks deep – High-resolution fluorescence microtom graphy can reconstruct the distribution of molecular probes in thick biological samples (http://medicalphysicsweb.org/cws/article/research/47032, August 31, 2011)
10. Reich ES: “Three-dimensional technique on trial”, Nature In-Focus News: http://www.nature.com/polopoly_fs/1.9645!/import/pdf/480303a.pdf, December 14, 2011
11. Hewett J: “Can we achieve the sub-mSv CT exam?” (http://medicalphysicsweb.org/cws/article/research/50308, July 27, 2012
12. Wang G: “Omni-tomography: the ultimate in multimodality imaging? (talking-point article), http://medicalphysicsweb.org/cws/article/opinion/51026, Oct. 2, 2012
13. Nystrom L: “Contributing researcher Ge Wang, creates most detailed, 3-D rendering of key region of mammal lung” (http://www.eng.vt.edu/news/contributing-researcher-ge-wang-creates-most-detailed-3-d-rendering-key-region-mammal-lung, Oct. 4, 2012; featured in ScienceDaily and other websites)
14. Nystrom L: “Scanning innovation can reduce radiation exposure and improve personalized medicine” (http://www.newswise.com, article #59632, Oct. 26, 2012)
15. Millburg S: “Coming soon: All-modalities-in-one scanner?”, http://www.radiologydaily.com/daily/abdominal-imaging/coming-soon-all-modalities-in-one-scanner, Radiology Daily, November 27, 2012
16. Wadman M: “New analysis challenges study suggesting racial bias at NIH”, http://news.sciencemag.org/scienceinsider/2013/02/new-analysis-challenges-study-su.html?rss=1, Science, 2013
17. http://www.the-scientist.com/?articles.view/articleNo/34236/title/NIH-Bias-Challenged
18. Akst J: “NIH bias challenged”, http://thegrio.com/2013/02/01/new-study-no-racial-bias-against-black-scientists, Scientists, 2013
19. Straumsheim C: “Race or productivity?”, http://www.insidehighered.com/news/2013/02/20/study-says-academic-productivity-not-race-determines-nih-research-funding, Inside Higher Education, 2013
20. Wadman M: “Study disputes racial bias in NIH grant-making”, http://blogs.nature.com/news/2013/02/study-disputes-racial-bias-in-nih-grant-making.html, Nature, 2013
21. Wadman M: “No NIH racial bias”, http://www.nature.com/news/seven-days-1-7-february-2013-1.12364, Nature, 2013
22. Savage N: “Path found to a combined MRI and CT scanner”, http://spectrum.ieee.org/biomedical/imaging/path-found-to-a-combined-mri-and-ct-scanner, IEEE Spectrum, April 2013
23. Kaplan DA: “Omni-Tomography: An All-in-One Modality?”, http://www.diagnosticimaging.com/omni-tomography-all-one-modality, April 12, 2013
24. Wang G, Liu F, Liu FL, Cao GH, Gao H, Vannier MW: Design proposed for a combined MRI/computed-tomography scanner. SPIE Newsroom: 10.1117/2.1201305.004860, http://spie.org/x94063.xml, 2013
25. Zyga L: What is the best way to measure a researcher’s scientific impact? http://phys.org/news/2013-06-scientific-impact.html, 2013
26. Azar B: Measuring researchers’ scientific impact. In This Issue, PNAS, vol. 110 no. 24, 9615–9616 http://www.pnas.org/content/110/24/9615.extract, June 11, 2013
27. Ryerson N: First hybrid CT/MRI scanner design proposed. http://www.dotmed.com/legal/print/story.html?nid=21462, July 11, 2013
    Gilk T: Omni-Tomography: The Ultimate Hybrid Modality. http://www.rad-planning.com/newsletter/2013/1305_1_RAD_omni-tomography.html. Radiant, May/June, 2013
28. Dineley J: Linear CT scanning lowers system costs, http://medicalphysicsweb.org/cws/article/research/59198, Nov. 4, 2014; also in RSNA Weekly, Nov. 11, 2014

• Results in the Past
• Work at the Present
• Development and Applications of Interior Tomography
• SBES Advanced Multi-scale CT Facility at Virginia Tech
• Gel’fand’s Reconstruction Formula in the 3D Real Space
• How to Define the Next Generation Cardiact CT Architecture
• TIM-OS: A General Monte Carlo Optical Simulator for Biomedical Optics
• Spiral CT of the Temporal Bone

• Spiral cone-beam CT
• Interior tomography
• Bolus-chasing CT angiography (Movie)
• Grating-based imaging
• Bioluminescence tomography (Movie) (Stanford Seminar)
• Phase approximation model
• Fluorescence tomography
• Image wrapping
• Axiomatic imaging theory
• Fast CT reconstruction
• Spiral CT of the temporal bone

Biomedical Mathematics: Promising Directions in Imaging, Therapy Planning and Inverse Problems

This book brings together 27 state-of-the-art, refereed and subsequently revised, research and review papers, by leading experts and practitioners in mathematical methods in biomedical imaging, in intensity-modulated radiation therapy (IMRT) and in optimization and inverse problems. The emphasis is on trying to discover relations and connections between these fields that will enhance progress in each of them. As this volume shows, applicable mathematical work in these fields goes hand-in-hand with real-world applications and the mutual “technology transfers” between them leads to further progress.

Preface
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Focus on multidimensional microscopy, Volume 1

This book covers various aspects of modern microscopy, with emphasis on multidimensional (three-dimensional and higher) and multimodality microscopy. The idea of compiling an authoritive and comprehensive book on modern microscopies was first discussed during the 8th International Conference on 3D Image Processing in Microscopy and the 7th International Conference on Confocal Microscopy. We were greatly encouraged by leading experts in the areas, and fortunately honored by their commitments in contributing chapters.

Given the rapid pace at which the field is evolving and expanding, we soon realized that the size of the book made it necessary to be in two volumes. In the first volume, the topics include multiphoton fluorescent microscopy, confocal microscopy, x-ray microscopy and microtomography, electron microscopy, probe microscopy and multidimensional image processing for microscopy. In the second volume, there are chapters demonstrating typical microscopical applications, both biological and material. The readership covers researchers in life sciences, optics, microscopy and image processing. Engineers and technologists should also find the content valuable.

The editorial process of these two volumes has been arduous and pleasant. We would like to acknowledge Ms. Tung Yu-chi and Mr. M. S. Park for their assistance on word processing. We are particularly grateful to institute of Zoology, Academia Sinica, National Science Council, Republic of China, the Electron Microscopy Society of the Republic of China, and State University of New York for organizing the conference and financial support.

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US Patent Issued: Systems and Methods for Bioluminescent CT Reconstruction

Dr. Ge Wang was issued US Patent No. 8.090,431 on 1/3/2012.  

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Our First Issued Interior Tomography Patent

Interior Tomography and Instant Tomography by Reconstruction from Truncated Limited-angle Projection Data by Dr. Ge Wang, Yangbo Ye, and Hengyong Yu.

A system and method for tomographic image reconstruction using truncated limited-angle projection data that allows exact interior reconstruction (interior tomography) of a region of interest (ROI) based on linear attenuation coefficient distribution of a subregion within the ROI, thereby improving image quality while reducing radiation dosage. In addition, the method includes parallel interior tomography using multiple sources beamed at multiple angles through an ROI and that enables higher temporal resolution.

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