Abstract #0396
Effects of realistic vascular networks anisotropy on MR microvascular imaging
Nicolas Adrien Pannetier 1,2 , Thomas Christen 3 , and Norbert Schuff 1,2
1
Department of Radiology and Biomedical
Imaging, University of California San Francisco, San
Francisco, CA, United States,
2
Centre
for Imaging of Neurodegenerative Diseases, VA Medical
Center, San Francisco, CA, United States,
3
Department
of Radiology, Stanford University, CA, United States
MRI microvasculature imaging is a powerful tool for
characterizing hemodynamic properties in vivo. However,
the structural complexity of the vasculature may
introduce inaccuracy in the estimation of the
microvasculature. Using full brain vasculature network
acquired with optical microscopy and simulation of the
MR signal, we characterized the impact of vascular
network anisotropy on the estimation of cerebral blood
volume (CBV) and vessel size index (VSI). We found an
intrinsic orientation dependent variability of about 20%
for CBV and VSI. This works indicates that variations in
the spatial distributions of vascular networks need to
be considered in microvascular MRI for accurate
estimations of hemodynamic properties.
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