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- W2785042966 abstract "A potential application for spectral computed tomography (CT) with multi-energy-window photon-counting detectors is quantitative medical imaging with K-edge contrast agents. Image reconstruction for spectral CT with such contrast agents necessitates expression of the X-ray linear attenuation map in at least three expansion functions, for example, bone/water/K-edge-material or photo-electric- process/Compton-process/K-edge-material. The use of three expansion functions can result in slow convergence for iterative image reconstruction (IIR) algorithms applied to spectral CT. We propose a block-diagonal step-preconditioner for use with a primal-dual iterative image reconstruction framework that we have been developing for spectral CT. We demonstrate the advantage of the new step-preconditioner on a sensitive spectral CT simulation where the test object has low concentration of Gadolinium (Gd) contrast agent and the X-ray attenuation map is represented by three materials - PMMA, a soft-tissue equivalent, Aluminum, a bone equivalent, and Gd." @default.
- W2785042966 created "2018-02-02" @default.
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- W2785042966 date "2018-01-18" @default.
- W2785042966 modified "2023-10-09" @default.
- W2785042966 title "Three material decomposition for spectral computed tomography enabled by block-diagonal step-preconditioning" @default.
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- W2785042966 doi "https://doi.org/10.48550/arxiv.1801.06263" @default.
- W2785042966 hasPublicationYear "2018" @default.
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