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Automatic and quantitative assessment of regional muscle volume by multi‐atlas segmentation using whole‐body water–fat MRI
Author(s) -
Karlsson Anette,
Rosander Johannes,
Romu Thobias,
Tallberg Joakim,
Grönqvist Anders,
Borga Magnus,
Dahlqvist Leinhard Olof
Publication year - 2015
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24726
Subject(s) - intraclass correlation , magnetic resonance imaging , segmentation , nuclear medicine , volume (thermodynamics) , medicine , anatomy , skeletal muscle , computer science , artificial intelligence , radiology , physics , clinical psychology , quantum mechanics , psychometrics
Purpose To develop and demonstrate a rapid whole‐body magnetic resonance imaging (MRI) method for automatic quantification of total and regional skeletal muscle volume. Materials and Methods The method was based on a multi‐atlas segmentation of intensity corrected water–fat separated image volumes. Automatic lean muscle tissue segmentations were achieved by nonrigid registration of atlas datasets with 10 different manually segmented muscle groups. Ten subjects scanned at 1.5 T and 3.0 T were used as atlases, initial validation and optimization. Further validation used 11 subjects scanned at 3.0 T. The automated and manual segmentations were compared using intraclass correlation, true positive volume fractions, and delta volumes. Results For the 1.5 T datasets, the intraclass correlation, true positive volume fractions (mean ± standard deviation, SD), and delta volumes (mean ± SD) were 0.99, 0.91 ± 0.02, −0.10 ± 0.70L (whole body), 0.99, 0.93 ± 0.02, 0.01 ± 0.07L (left anterior thigh), and 0.98, 0.80 ± 0.07, −0.08 ± 0.15L (left abdomen). The corresponding values at 3.0 T were 0.97, 0.92 ± 0.03, −0.17 ± 1.37L (whole body), 0.99, 0.93 ± 0.03, 0.03 ± 0.08L (left anterior thigh), and 0.89, 0.90 ± 0.04, −0.03 ± 0.42L (left abdomen). The validation datasets showed similar results. Conclusion The method accurately quantified the whole‐body skeletal muscle volume and the volume of separate muscle groups independent of field strength and image resolution. J. Magn. Reson. Imaging 2015;41:1558–1569 . © 2014 Wiley Periodicals, Inc .