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MR-based attenuation correction (AC) is a prerequisite to fully harnessing the power of the recently introduced hybrid PET/MRI scanner. Assigning attenuation coefficients based upon MR anatomical images alone remains challenging. In this study, we sought to develop a novel approach based upon hidden Markov random field segmentation (hMRFS) and sparse regression (SR) to estimate CT from T1w images...
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