Supervised learning to quantify amyloidosis in whole brains of an Alzheimer's disease mouse model acquired with optical projection tomography

Article Article scientifique Article Supervised learning to quantify amyloidosis in whole brains of an Alzheimer's disease mouse model acquired with optical projection tomography eng 2019 author Nguyen David 944878 author Uhlmann Virginie author Planchette Arielle L. author Marchand Paul J. author Van De Ville Dimitri 0000-0002-2879-3861 638484 author Lasser Theo author Radenovic Aleksandra 3041-3060 10.1364/BOE.10.003041 31259073 2156-7085 https://www.osapublishing.org/abstract.cfm?URI=boe-10-6-3041 Alzheimer's disease (AD) is characterized by amyloidosis of brain tissues. This phenomenon is studied with genetically-modified mouse models. We propose a method to quantify amyloidosis in whole 5xFAD mouse brains, a model of AD. We use optical projection tomography (OPT) and a random forest voxel classifier to segment and measure amyloid plaques. We validate our method in a preliminary cross-sectional study, where we measure 6136 ± 1637, 8477 ± 3438, and 17267 ± 4241 plaques (AVG ± SD) at 11, 17, and 31 weeks. Overall, this method can be used in the evaluation of new treatments against AD. Dewey 616.0757 62 Département de radiologie et informatique médicale 227 false 552 Traitement d'images médicales 893 https://osf.io/tnvyq/ Biomedical Optics Express 10 6 619ea711-5eb5-4b1e-990e-6af923c55a92 Article (Published version) Public nguyen1901.pdf 5538355 application/pdf OA OTHER openAccess Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale

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Supervised learning to quantify amyloidosis in whole brains of an Alzheimer's disease mouse model acquired with optical projection tomography	Biomedical Optics Express			2019	246	191

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Nguyen, David