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Abstract #1258

Combining Shape Descriptor and Image Ranking to the Identification of Alzheimer’s Disease in Anatomical Regions using T1-weighted MR Images

Kaue Tartarotti Nepomuceno Duarte1, Richard Frayne1, David Gobbi2, Paulo Sergio Martins3, and Marco Antonio Garcia de Carvalho3
1Radiology, University of Calgary, Calgary, AB, Canada, 2CIPAC, University of Calgary, CALGARY, AB, Canada, 3University of Campinas, Limeira, Brazil


Alzheimer's Disease is one of the most prevalent types of dementia that affects human behaviour and cognitive skills. The progression of this dementia occurs at different rates in distinct parts of the brain, thus also affecting their brain shape. We proposed an approach based on shape feature extraction and image ranking to identify which regions are more predictive for each level of the AD progression. For each stage, we highlighted the sub-cortical regions that suggested a strong correlation in the AD levels. In fact, the results showed a predictive pattern, which aligns to the state-of-the-art.

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