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Abstract #3062

A Novel Vascular Transfer Function for Modeling the Local Arterial Input Function for More Accurate Estimation of Vascular Permeability Parameters in DCE-MRI Studies

Siamak Nejad-Davarani 1,2 , Hassan Bagher-Ebadian 3,4 , Douglas Noll 2 , Tom Mikkelsen 5 , Lisa Scarpace 5 , Azimeh Noorizadeh Vahed Dehkordi 6 , James R. Ewing 1,4 , Michael Chopp 1,4 , and Quan Jiang 1,4

1 Department of Neurology, Henry Ford Hospital, Detroit, MI, United States, 2 Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3 Department of Radiology, Henry Ford Hospital, Detroit, MI, United States, 4 Department of Physics, Oakland University, Rochester, MI, United States, 5 Department of Neurosurgery, Henry Ford Hospital, Detroit, MI, United States, 6 Department of Nuclear Engineering, Shahid Beheshti University, Tehran, Iran

One of the problems in Dynamic Contrast Enhanced MRI (DCE-MRI) and Dynamic Contrast Enhanced Computed Tomography (DCE-CT) studies is estimation of the Arterial Input Function at the tissue level. In this abstract, we introduce a novel vascular transfer function based on laws of fluid dynamics, cerebral vascular morphology and extravasation of the contrast agent to the extravascular-extracellular space. By using this transfer function, the MRI tissue response signal sampled from brain regions with leaky vessels can be decomposed into the intra-vascular and extra-vascular components. Using these signals can lead to more accurate estimation of the permeability parameters.

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