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Abstract #4393

An analytical segmented approach for extracting TE independent perfusion fraction in intravoxel incoherent motion (IVIM) MRI

Erick O Buko1, Afis Ajala1, Jiming Zhang2, Pei Herng Hor1, and Raja Muthupillai2
1Physics, Texas Center for Superconductivity at University of Houston, Houston, TX, United States, 2Diagnostic and Interventional Radiology, Baylor St. Luke's Medical Center, Houston, TX, United States

Determination of perfusion fraction (f) from IVIM-MRI data is challenging. Recent studies have shown that estimation of f is influenced by echo time (TE). Eliminating thisTE dependency on f requires acquiring data sets at multiple TEs. Here, we propose an analytical segmented approach to correct for the TE dependency on f arising from T2 differences between the tissue and fluid compartments (AS-T2). Numerical simulations predict, and phantom experiments confirm that, compared to commonly used segmented approaches to estimate f, AS-T2 approach permits the determination of perfusion fraction without TE dependence, and with fewer measurements.

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