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Body Composition Analysis In Large Scale Population Studies using Dixon Water-Fat Separated Imaging
Linköping University, Department of Medical and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Department of Life Sciences Faculty of Science and Technology, University of Westminster, London, UK.
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2016 (English)Conference paper, Poster (Other academic)
Abstract [en]

Water-fat separated MRI, based on Dixon imaging techniques enables high soft-tissue contrast and the separation of fat and muscle compartments. This study investigate the feasibility and success-rate of one recently described method for MR data-acquisition and body composition analysis, in a large-scale population study. The first 1,000 subjects in the UK Biobank imaging cohort were scanned, quality assured and included for body composition analysis. Volumes of visceral adipose tissue, abdominal subcutaneous tissue, and thigh muscles were calculated. This study showed that the rapid MR-examination was sufficiently robust to achieve very high success-rate for body composition analysis. 

Place, publisher, year, edition, pages
2016.
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-128987OAI: oai:DiVA.org:liu-128987DiVA: diva2:933993
Conference
International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition, Singapore, May 7-13, 2016
Available from: 2016-06-07 Created: 2016-06-07 Last updated: 2016-06-22Bibliographically approved

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West, JanneDahlqvist Leinhard, OlofRomu, ThobiasBorga, Magnus
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Department of Medical and Health SciencesCenter for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesFaculty of Medicine and Health SciencesDepartment of Radiation PhysicsMedical InformaticsFaculty of Science & Engineering
Radiology, Nuclear Medicine and Medical ImagingMedical Image Processing

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