Abstract #0197
4-D Spatio-Temporal MR Perfusion Deconvolution via Tensor Total Variation
Ruogu Fang 1
1
School of Computing and Information
Sciences, Florida International University, Miami, FL,
United States
A 4-D Tensor Total Variation (TTV) deconvolution
approach is adapted and evaluated for dynamic
susceptibility contrast magnetic resonance imaging
(DSC-MRI) in the brain. TTV exploits the temporal
continuity of the contrast agent concentration and the
spatial correlation of the non-random structure of the
microvasculature. The algorithm is guaranteed to
converge to global optima and outperforms the baseline
methods (singular value decomposition-based and Tikhonov
regularization) on both synthetic and real data of
subjects with glioblastomas, in terms of improving
accuracy of residue functions, quantification of
perfusion maps, and localization of tumor tissue.
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