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Automatic and Quantitative Assessment of Total and Regional Muscle Tissue Volume using Multi-Atlas Segmentation
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Advanced MR Analytics AB, Linköping, Sweden.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Center for Medical Image Science and Visualization (CMIV).
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2014 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

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 1.25±1.35 % (mean ± standard deviation). The method enables cost-efficient large-scale studies, investigating conditions such as sarcopenia and muscular dystrophies.

Place, publisher, year, edition, pages
2014.
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-109034OAI: oai:DiVA.org:liu-109034DiVA: diva2:735713
Conference
ISMRM 22nd Annual Meeting & Exhibition, 10 -16 May, 2014, Milan, Italy
Available from: 2014-07-30 Created: 2014-07-30 Last updated: 2014-09-05

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Karlsson, AnetteRomu, ThobiasBorga, MagnusDahlqvist Leinhard, Olof

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Karlsson, AnetteRomu, ThobiasBorga, MagnusDahlqvist Leinhard, Olof
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Medical InformaticsThe Institute of TechnologyCenter for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesFaculty of Health SciencesDepartment of Radiation Physics
Radiology, Nuclear Medicine and Medical ImagingMedical Image Processing

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