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Abstract #4027

Automatic and Quantitative Assessment of Total and Regional Muscle Tissue Volume using Multi-Atlas Segmentation

Anette Karlsson 1,2 , Johannes Rosander 3 , Thobias Romu 1,2 , Joakim Tallberg 2 , Anders Grnqvist 2,4 , Magnus Borga 1,2 , and Olof Dahlqvist Leinhard 2,5

1 Department of Biomedical Engineering (IMT), Linkping University, Linkping, Sweden, 2 Center for Medical Image Science and Visualization (CMIV), Linkping University, Linkping, Sweden, 3 Advanced MR Analytics (AMRA) AB, Linkping, Sweden, 4 Radiation Physics, University Hospital of Linkping, Linkping, Sweden, 5 Department of Medical and Health Sciences (IMH), Linkping University, Linkping, Sweden

Accurate and precise assessment of human muscle tissue is important for further understanding of different muscle diseases and syndromes. We present a rapid whole body MR method for automatic quantification of total and regional muscle volume. The method is based on multi-atlas segmentation of intensity corrected water-fat separated images. The method was validated with a leave-one-out approach, using manually segmented atlases from 10 subjects as ground truth. The result gave a coefficient of variation on total muscle volume equal to 1.251.35 % (mean standard deviation). The method enables cost-efficient large-scale studies, investigating conditions such as sarcopenia and muscular dystrophies.

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