Automated unsupervised multi-parametric classification of adipose tissue depots in skeletal muscle

PURPOSE: To introduce and validate an automated unsupervised multi-parametric method for segmentation of the subcutaneous fat and muscle regions in order to determine subcutaneous adipose tissue (SAT) and intermuscular adipose tissue (IMAT) areas based on data from a quantitative chemical shift-base...

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Bibliographic Details
Main Authors: Valentinitsch, Alexander, Karampinos, Dimitrios C., Alizai, Hamza, Subburaj, Karupppasamy, Kumar, Deepak, Link, Thomas M., Majumdar, Sharmila
Format: Artigo
Language:Inglês
Published: 2012
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC3573225/
https://ncbi.nlm.nih.gov/pubmed/23097409
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jmri.23884
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