Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors


We propose and demonstrate an inference algorithm for the automatic segmentation of cerebrovascular pathologies in clinical MR images of the brain. Identifying and differentiating pathologies is important for understanding the underlying mechanisms and clinical outcomes of cerebral ischemia. Manual delineation of separate pathologies is infeasible in large… (More)
DOI: 10.1007/978-3-319-10470-6_96


4 Figures and Tables