Abstract #4122

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

Tora Dunås¹, Anders Wåhlin^1,2, Khalid Ambarki^1,3, Laleh Zarrinkoob⁴, Jan Malm⁴, and Anders Eklund^1,2,3

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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