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Abstract #2287

Automated vessel segmentation from quantitative susceptibility maps at 7 Tesla

Pierre-Louis Bazin 1 , Audrey Fan 2 , Gabriela Mianowska 3 , Agnieska Olbrich 3 , Andreas Schfer 1 , Arno Villringer 1 , and Claudine Gauthier 4

1 Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2 Stanford University, California, United States, 3 AGH University of Science and Technology, Cracow, Poland, 4 Concordia University, Montral, Qubec, Canada

This work presents a new automated segmentation method to extract detailed brain vasculature from high-resolution quantitative susceptibility maps at high field. Comparison with human raters and susceptibility-weighted contrasts indicate the suitability of the method for measuring local oxygen extraction fraction in small cortical veins.

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