Unsupervised analysis of small animal dynamic Cerenkov luminescence imaging

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Unsupervised analysis of small animal dynamic Cerenkov luminescence imaging.

Clustering analysis (CA) and principal component analysis (PCA) were applied to dynamic Cerenkov luminescence images (dCLI). In order to investigate the performances of the proposed approaches, two distinct dynamic data sets obtained by injecting mice with (32)P-ATP and (18)F-FDG were acquired using the IVIS 200 optical imager. The k-means clustering algorithm has been applied to dCLI and was i...

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ژورنال

عنوان ژورنال: Journal of Biomedical Optics

سال: 2011

ISSN: 1083-3668

DOI: 10.1117/1.3663442