title: Segmentation of cerebrovascular pathologies in stroke patients with spatial and shape priors.
abstract: 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 studies of stroke that include thousands of patients. Unlike normal brain tissues and structures, the location and shape of the lesions vary across patients, presenting serious challenges for prior-driven segmentation. Our generative model captures spatial patterns and intensity properties associated with different cerebrovascular pathologies in stroke patients. We demonstrate the resulting segmentation algorithm on clinical images of a stroke patient cohort.
authors.forename: Adrian Vasile
authors.initials: AV
authors.lastname: Dalca
authors.forename: Ramesh
authors.initials: R
authors.lastname: Sridharan
authors.forename: Lisa
authors.initials: L
authors.lastname: Cloonan
authors.forename: Kaitlin M
authors.initials: KM
authors.lastname: Fitzpatrick
authors.forename: Allison
authors.initials: A
authors.lastname: Kanakis
authors.forename: Karen L
authors.initials: KL
authors.lastname: Furie
authors.forename: Jonathan
authors.initials: J
authors.lastname: Rosand
authors.forename: Ona
authors.initials: O
authors.lastname: Wu
authors.forename: Mert
authors.initials: M
authors.lastname: Sabuncu
authors.forename: Natalia S
authors.initials: NS
authors.lastname: Rost
authors.forename: Polina
authors.initials: P
authors.lastname: Golland
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D049292:Leukoaraiosis / Q000150:complications / Q000473:pathology*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008953:Models, Anatomic; D008959:Models, Neurological; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D020521:Stroke / Q000209:etiology / Q000473:pathology*; D013382:Subtraction Technique