Supervised learning to quantify amyloidosis in whole brains of an Alzheimer's disease mouse model acquired with optical projection tomography
Nguyen, David; Uhlmann, Virginie; Planchette, Arielle L.; Marchand, Paul J.; Van de Ville, Dimitri; Lasser, Theo; Radenovic, Aleksandra
2019

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Abstract

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. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

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Title Supervised learning to quantify amyloidosis in whole brains of an Alzheimer's disease mouse model acquired with optical projection tomography
Author(s) Nguyen, David ; Uhlmann, Virginie ; Planchette, Arielle L. ; Marchand, Paul J. ; Van de Ville, Dimitri ; Lasser, Theo ; Radenovic, Aleksandra
Published in Biomedical Optics Express
Volume 10
Issue 6
Pages 3041-3060
Date 2019-06-01
ISSN 2156-7085
Keywords
DOI https://doi.org/10.1364/BOE.10.003041
Other identifier(s) View record in Web of Science
Laboratories MIPLAB
LBEN
LOB
Record Appears in Scientific production and competences > STI - School of Engineering > IBI-STI - Interfaculty Institute of Bioengineering > MIPLAB - Medical Image Processing Lab
Scientific production and competences > STI - School of Engineering > IBI-STI - Interfaculty Institute of Bioengineering > LBEN - Laboratory of Nanoscale Biology
Scientific production and competences > STI - School of Engineering > STI Archives > LOB - Laboratoire d'optique biomédicale
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Record creation date 2019-06-19

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