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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