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Advanced body composition assessment: From body mass index to body composition profiling
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
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Medicine and Health Sciences.
Westminster University, London, UK.
University of Southampton, IK.
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2018 (English)In: Journal of Investigative Medicine, ISSN 1081-5589, E-ISSN 1708-8267, Vol. 66, p. 887-895Article, review/survey (Refereed) Published
Abstract [en]

This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method based on fat-referenced quantitative magnetic resonance imaging (MRI). Earlier published studies of this method are summarized, and a previously un-published validation study, based on 4.753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy x-ray absorptiometry (DXA) is presented. For whole-body measurements of adipose tissue (AT) or fat and lean tissue (LT), DXA and quantitative MRI show excellent agreement with linear correlation of 0.99 and 0.97, and coefficient of variation (CV) of 4.5 % and 4.6 % for fat (computed from AT) and lean tissue respectively, but the agreement was found significantly lower for visceral adipose tissue, with a CV of more than 20 %. The additional ability of MRI to also measure muscle volumes, muscle AT infiltration and ectopic fat in combination with rapid scanning protocols and efficient image analysis tools make quantitative MRI a powerful tool for advanced body composition assessment. 

Place, publisher, year, edition, pages
BMJ Publishing Group Ltd, 2018. Vol. 66, p. 887-895
Keywords [en]
Body-composition-analysis, MRI, UK Biobank
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-145624DOI: 10.1136/jim-2018-00072ISI: 000435456400001PubMedID: 29581385OAI: oai:DiVA.org:liu-145624DiVA, id: diva2:1188932
Available from: 2018-03-08 Created: 2018-03-08 Last updated: 2019-06-14Bibliographically approved

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Advanced body composition assessment: From body mass index to body composition profiling(1175 kB)121 downloads
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Borga, MagnusWest, JanneRomu, ThobiasDahlqvist Leinhard, Olof

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Borga, MagnusWest, JanneRomu, ThobiasDahlqvist Leinhard, Olof
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Division of Biomedical EngineeringFaculty of Science & EngineeringCenter for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesFaculty of Medicine and Health SciencesDepartment of Biomedical EngineeringDepartment of Radiation Physics
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