IVIM and DTI techniques are both sensitive to a variety of muscle disorders. Their combination can give a more complete description of ordered diffusion processes and perfusion. Model-based reconstruction can overcome many short-comings of image-based fitting such as Rician noise bias or low SNR. In this study we investigate the feasibility of model-based IVIM-DTI reconstruction in skeletal muscle, a low-perfused tissue. Results were compared to image-based least-square fitting. The parameter maps show more anatomical detail with model-based reconstruction. The mean parameter values are comparable to image-based fitting. Model-based reconstruction is sensitive to subtle changes after exercise in the underlying parameters.
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