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High b-value DWI is promising in detection of white matter pathology and infarctions. However, the disadvantages of the acquired high b-value DWI, such as insufficient SNR and image distortions, prohibits its clinical application. Though the feasibility of computed high b-value has been estimated in prostate cancer, the parameters derived from low b-value images cannot be used for diffusion kurtosis model fitting and achieved inferior performance at high b-value. In this study, we proposed a framework based on parametric POCSMUSE and kurtosis model to generate multiple high b-value images with comparable image quality to MUSE from highly-accelerated high b-value DWI.
Chen et al. (Wed,) studied this question.
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