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Abstract #4122

A probabilistic atlas based on 168 subjects for labeling of brain arteries

Tora Dunås1, Anders Wåhlin1,2, Khalid Ambarki1,3, Laleh Zarrinkoob4, Jan Malm4, and Anders Eklund1,2,3

1Department of Radiation Sciences, Umeå University, Umeå, Sweden, 2Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden, 3Centre for Biomedical Engineering and Physics, Umeå University, Umeå, Sweden, 4Department of Clinical Neuroscience, Umeå University, Umeå, Sweden

The cerebral arterial system is complex with large inter-individual spatial variations, which are potentially challenging for automatic methods. The objective of this work was to construct an artery specific probabilistic atlas of 16 large cerebral arteries, based on 168 subjects, and to investigate if the regional specificity of vascular branches was sufficient to permit atlas based arterial labeling. Voxels of the arterial centerlines was labeled according to the highest probability at the corresponding location in the atlas. The rate of correctly labeled voxels was over 80% for all arteries, which should be sufficient to permit atlas based arterial labeling.

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