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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