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Abstract #3111

Compressed Sensing for Flow-Compensated Intra-Voxel Incoherent Motion Modeling

Andreas Wetscherek1, 2, Frederik B. Laun1, 3, Claudia Prieto2, 4, Cristin Tejos, 25

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; 2Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile; 3Quantitative Imaging-Based Disease Characterization, German Cancer Research Center (DKFZ), Heidelberg, Germany; 4Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom; 5Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile

The flow-compensated (FC) intra-voxel incoherent motion (IVIM) model allows probing the characteristic timescale and velocity of the incoherent motion using FC diffusion weighted MRI. To reduce the long acquisition times required, we applied a compressed sensing reconstruction exploiting sparsity of the Karhunen-Love transform domain to a 3x undersampled data set. We were able to show that the CS reconstruction improved the accuracy of the parameter maps obtained from the undersampled data making their quality comparable to those obtained from non-undersampled data.

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Keywords

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