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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