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Rapidly developing technology of photon-counting or energy-discriminating detectors has provided an additional spectral dimension to conventional X-ray grayscale imaging.The energy-binned data, however, suffer from low signal-to-noise ratio, acquisition artifacts, and frequently angular undersampled conditions. Since energy-channels are mutually correlated it can be advantageous to incorporate additional knowledge into the reconstruction algorithm. We propose a novel iterative method which jointly reconstructs all energy channels while imposing a strong structural correlation between them.
This presentation is part of Minisymposium “MS68 - Multi-channel image reconstruction approaches”
organized by: Jakob Jorgensen (University of Manchester) , Daniil Kazantsev (University of Manchester) .