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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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