Model-based reconstruction of IVIM-DTI in skeletal muscle: Improving IVIM-DTI parameter map quality in low-perfused tissues
Susanne Rauh1, Oliver Maier2, Oliver Gurney-Champion3, Melissa Hooijmans3, Rudolf Stollberger2, Aart Nederveen3, and Gustav Strijkers1
1Department of Biomedical Engineering and Physics, Amsterdam UMC, Amsterdam, Netherlands, 2Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 3Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands
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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