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Abstract #2034

In vivo MR detection and automated quantification of amyloid plaques in a preclinical model of Alzheimer's disease

Steve J Sawiak1, Anne-Sophie Herard2, Mathieu D Santin3, Thierry Delzescaux2, and Marc Dhenain2

1Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom, 2MIRCen, CEA-CNRS, Fontenay aux Roses, France, 3ICM, Paris, France

Amyloid plaque load is a key index of disease burden in Alzheimer’s disease, but methods for its quantification are slow and operator dependent. Recent advances in the use of contrast agents allow the plaques to be visualized in vivo, but as yet no direct quantification methods are available. Here we present a new technique for automatic segmentation of amyloid plaques and to evaluate age-related or therapy related changes on a voxel-based basis with minimal user intervention. We report localized age-related changes of amyloid load across the whole brain of APP/PS1 mouse model of amyloidosis.

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