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MRI adipose tissue and muscle composition analysis: a review of automation techniques
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9267-2191
2018 (English)In: British Journal of Radiology, ISSN 0007-1285, E-ISSN 1748-880X, Vol. 91, no 1089, article id 20180252Article, review/survey (Refereed) Published
Abstract [en]

MRI is becoming more frequently used in studies involving measurements of adipose tissue and volume and composition of skeletal muscles. The large amount of data generated by MRI calls for automated analysis methods. This review article presents a summary of automated and semi-automated techniques published between 2013 and 2017. Technical aspects and clinical applications for MRI-based adipose tissue and muscle composition analysis are discussed based on recently published studies. The conclusion is that very few clinical studies have used highly automated analysis methods, despite the rapidly increasing use of MRI for body composition analysis. Possible reasons for this are that the availability of highly automated methods has been limited for non-imaging experts, and also that there is a limited number of studies investigating the reproducibility of automated methods for MRI-based body composition analysis.

Place, publisher, year, edition, pages
London, United Kingdom: British Institute of Radiology , 2018. Vol. 91, no 1089, article id 20180252
Keywords [en]
MRI; adipose tissue; automated sgmentation
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-149809DOI: 10.1259/bjr.20180252ISI: 000443131900031PubMedID: 30004791OAI: oai:DiVA.org:liu-149809DiVA, id: diva2:1235475
Available from: 2018-07-25 Created: 2018-07-25 Last updated: 2018-09-21Bibliographically approved

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Borga, Magnus

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