Automatic and quantitative assessment of regional muscle volume by multi-atlas segmentation using whole-body water-fat MRI
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....
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Published in | Journal of magnetic resonance imaging Vol. 41; no. 6; pp. 1558 - 1569 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Blackwell Publishing Ltd
01.06.2015
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | istex:2E8D04A59DEF36E7B664857C9BFBEDE8989F15BC Research Council of Southeast Sweden (FORSS) ark:/67375/WNG-GX5RWCK8-P ArticleID:JMRI24726 Potential conflicts of interest: Anette Karlsson, Johannes Rosander, Thobias Romu, Magnus Borga, and Olof Dahlqvist Leinhard are stock holders in Advanced MR Analytics AB. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1053-1807 1522-2586 1522-2586 |
DOI: | 10.1002/jmri.24726 |