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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