A standardized method to automatically segment amyloid plaques in Congo Red stained sections from Alzheimer transgenic mice.
Automated detection of amyloid plaques (AP) in post mortem brain sections of patients with Alzheimer disease (AD) or in mouse models of the disease is a major issue to improve quantitative, standardized and accurate assessment of neuropathological lesions as well as of their modulation by treatment. We propose a new segmentation method to automatically detect amyloid plaques in Congo Red stained sections based on adaptive thresholds and a dedicated amyloid plaque/tissue modelling. A set of histological sections focusing on anatomical structures was used to validate the method in comparison to expert segmentation.
Teboul
Olivier
O
Medical Image Research Center, URA CEA-CNRS 2210, 4 place du Général Leclerc, 914006 Orsay Cedex, France.
Feki
Abdelmonem
A
Dubois
Albertine
A
Bozon
Bruno
B
Faure
Alexis
A
Hantraye
Philippe
P
Dhenain
Marc
M
Delatour
Benoit
B
Delzescaux
Thierry
T
D000465:Algorithms; D000544:Alzheimer Disease / Q000473:pathology*; D000818:Animals; D001185:Artificial Intelligence; D001921:Brain / Q000473:pathology*; D003124:Colorimetry / Q000379:methods*; D003224:Congo Red; D003287:Contrast Media; D004195:Disease Models, Animal; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D051379:Mice; D008822:Mice, Transgenic; D010363:Pattern Recognition, Automated / Q000379:methods; D058225:Plaque, Amyloid / Q000473:pathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
D003287:Contrast Media; D003224:Congo Red