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Abstract #0828

Vessel distance mapping for deep gray matter structures

Hendrik Mattern1, Stefanie Schreiber2,3,4, and Oliver Speck1,3,4,5
1Biomedical Magnetic Resonance, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany, 2Department of Neurology, Otto-von-Guericke-University, Magdeburg, Magdeburg, Germany, 3German Center for Neurodegenerative Disease, Magdeburg, Germany, 4Center for Behavioral Brain Sciences, Magdeburg, Germany, 5Leibniz Institute for Neurobiology, Magdeburg, Germany

Vessel distance mapping (VDM) is proposed as a novel tool to enable quantitative and qualitative assessment of vascular patterns in deep gray matter structures. At 7T, ToF angiography and QSM were used to depict the arterial and venous vasculature in six subjects. Based on vessel segmentations, vessel distance maps were generated by computing the Euclidean distance of each non-vessel voxel to its closest vessel. Compared to state-of-the-art methods, VDM interpolates the sparse vessel data to enable new ways to analyze vascular patterns with respect to the surrounding structure.

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