Abstract #2193
Semi-automated visualization and segmentation of cerebral veins from QSM
Suheyla Cetin 1 , Berkin Bilgic 2 , Audrey Peiwen Fan 3 , Kawin Setsompop 2 , and Gozde Unal 1
1
Faculty of Natural Sciences and Engineering,
Sabanci University, Istanbul, Istanbul, Turkey,
2
Radiology,
Athinoula A. Martinos Center for Biomedical Imaging,
Charlestown, MA, United States,
3
Department
of Radiology, Stanford University, CA, United States
Susceptibility MRI provides contrast of the brains
venous vasculature due to the presence of paramagnetic
deoxyhemoglobin molecules in cerebral veins. Although
susceptibility-weighted imaging has gained popularity to
image veins in clinical applications such as stroke and
traumatic brain injury, this method suffers from
non-local and orientation-dependent effects that may
prevent accurate identification of brain vessels. The
purpose of our study is to demonstrate visualization and
segmentation of cerebral veins from quantitative
susceptibility maps (QSMs), a new MRI contrast
reconstructed from phase images.
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