Shape-Attributes of Brain Structures as Biomarkers for Alzheimer's Disease

Tanya Glozman, Justin Solomon, Franco Pestilli, Leonidas Guibas, Yudong Zhang
2017 Journal of Alzheimer's Disease  
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
more » ... 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.
doi:10.3233/jad-160900 pmid:27911322 pmcid:PMC5240557 fatcat:btjg2ls4rjdktlmuqtt4rxz5qy