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Stroke Lesion Segmentation Using a Probabilistic Atlas of Cerebral Vascular Territories
[chapter]
2016
Lecture Notes in Computer Science
The accurate segmentation of lesions in magnetic resonance images of stroke patients is important, for example, for comparing the location of the lesion with functional areas and for determining the optimal strategy for patient treatment. Manual labeling of each lesion turns out to be time-intensive and costly, making an automated method desirable. Standard approaches for brain parcellation make use of spatial atlases that represent prior information about the spatial distribution of different
doi:10.1007/978-3-319-30858-6_3
fatcat:m4eimgvdtzerdiuhl6qosb6xfy