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MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data
Current commercial and prototype clinical photon counting CT systems utilize PCD-CT reconstruction methods that either reconstruct from each spectral bin separately, or first create an estimate of a material sinogram using a specified set of basis materials and then reconstruct from these material sinograms.
Texture Matching GAN for CT Image Enhancement
However, naive application of DNN-based methods can result in image texture that is undesirable in clinical applications.
MBIR Training for a 2.5D DL network in X-ray CT
The cost we have to pay is that MBIR is computationally expensive.
Design of Novel Loss Functions for Deep Learning in X-ray CT
Particularly in a field such as X-ray CT, where radiologists' subjective preferences in image characteristics are key to acceptance, it may be desirable to penalize differences in DL more creatively.
