Supervised learning to quantify amyloidosis in whole brains of an Alzheimer's disease mouse model acquired with optical projection tomography.
Biomed Opt Express
; 10(6): 3041-3060, 2019 Jun 01.
Article
em En
| MEDLINE
| ID: mdl-31259073
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.
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Base de dados:
MEDLINE
Tipo de estudo:
Observational_studies
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article