- The group compiled information from imaging data shared with us from Harvard University and the Massachusetts General Hospital.
- The images are of cadavers and include several methods of reconstruction, voltage levels, noise levels, and slice thicknesses.
- These images can be used for work with denoising and for education tools. There are several of the same images with different noise levels, so one can use denoising methods to denoise an image then compare the results to the given images.
- There are many applications for these images in education. Because there are multiple images of the same areas of the same cadavers, they can be used to compare reconstruction methods, voltage levels, noise levels, and slice thicknesses in a classroom setting.
- To access the imaging data, click here. The User Name is rpi_bic and the Password is rpibicorg. The images are organized into folders by part of the human body: head, chest, and abdomen. Inside those folders files are organized by cadaver ID number and then by the method of reconstruction, voltage, noise, and slice thickness. The file name 100K10NI2_5MMSS00_0351 indicates the voltage (100K), noise index (10NI), slice thickness(2_5MM), and filtered backprojection reconstruction method (SS00). SS50 at the end of the file name indicates the adaptive statistical iterative reconstruction method and VEO at the beginning of the file name indicates the Veo reconstruction method, the first model-based iterative reconstruction method.
Sample images of the abdomen using (left to right) Filtered Backprojection, Model-Based Iterative Reconstruction, and Adaptive Statistical Iterative Reconstruction.