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Titel:

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

Dokumenttyp:
journal article
Autor(en):
Valentinitsch, Alexander, A; Karampinos, Dimitrios C, DC; Alizai, Hamza, H; Subburaj, Karupppasamy, K; Kumar, Deepak, D; Link, Thomas M, TM; Majumdar, Sharmila, S
Abstract:
To introduce and validate an automated unsupervised multi-parametric method for segmentation of the subcutaneous fat and muscle regions to determine subcutaneous adipose tissue (SAT) and intermuscular adipose tissue (IMAT) areas based on data from a quantitative chemical shift-based water-fat separation approach.Unsupervised standard k-means clustering was used to define sets of similar features (k = 2) within the whole multi-modal image after the water-fat separation. The automated image proces...     »
Zeitschriftentitel:
J Magn Reson Imaging
Jahr:
2013
Band / Volume:
37
Heft / Issue:
4
Seitenangaben Beitrag:
917-27
Sprache:
eng
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/23097409
Print-ISSN:
1053-1807
TUM Einrichtung:
Institut für Radiologie
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