title: Shape-Attributes of Brain Structures as Biomarkers for Alzheimer's Disease.
abstract: We describe a fully automatic framework for classification of two types of dementia based on the differences in the shape of brain structures. We consider Alzheimer's disease (AD), mild cognitive impairment of individuals who converted to AD within 18 months (MCIc), and normal controls (NC). Our approach uses statistical learning and a feature space consisting of projection-based shape descriptors, allowing for canonical representation of brain regions. Our framework automatically identifies the structures most affected by the disease. We evaluate our results by comparing to other methods using a standardized data set of 375 adults available from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Our framework is sensitive to identifying the onset of Alzheimer's disease, achieving up to 88.13% accuracy in classifying MCIc versus NC, outperforming previous methods.
authors.affiliation: Department of Electrical Engineering, Stanford, CA, USA.
authors.forename: Tanya
authors.initials: T
authors.lastname: Glozman
authors.affiliation: Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA.
authors.forename: Justin
authors.initials: J
authors.lastname: Solomon
authors.affiliation: Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
authors.forename: Franco
authors.initials: F
authors.lastname: Pestilli
authors.affiliation: Department of Computer Science, Stanford, CA, USA.
authors.forename: Leonidas
authors.initials: L
authors.lastname: Guibas
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000000981:diagnostic imaging / Q000473:pathology*; D001921:Brain / Q000000981:diagnostic imaging / Q000473:pathology*; D060825:Cognitive Dysfunction / Q000000981:diagnostic imaging*; D016208:Databases, Factual / Q000706:statistics & numerical data; D005260:Female; D007839:Functional Laterality; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D049268:Positron-Emission Tomography; D012680:Sensitivity and Specificity; D060388:Support Vector Machine
keywords: Alzheimer’s disease; classification, mild cognitive impairment; shape descriptors; support vector machine