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Automatic combined whole-body muscle and fat volume quantification using water-fat separated MRI in postmenopausal women
Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center of Paediatrics and Gynaecology and Obstetrics, Department of Gynaecology and Obstetrics in Linköping.
Linköping University, Department of Medical and Health Sciences, Division of Physiotherapy. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0002-1533-6872
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2015 (English)In: International Society for Magnetic Resonance in Medicine Annual Meeting: Proceedings, 2015Conference paper, Poster (Other academic)
Abstract [en]

Quantitative and exact measurements of fat and muscle in the body are important when addressing some of the greatest health-challenges today. In this study whole-body combined regional muscle and fat volume quantification was validated in a group of postmenopausal women, where the body composition is changing. Twelve subjects were scanned with a 4-echo 3D gradient-echo sequence. Water and fat image volumes were calculated using IDEAL, and image intensity correction was performed. Subsequently, automatic tissue segmentation was established using non-rigid morphon based registration. Whole-body regional fat and muscle segmentation could be performed with excellent test-retest reliability, in a single 7-minutes MR-scan.

Place, publisher, year, edition, pages
2015.
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-128992OAI: oai:DiVA.org:liu-128992DiVA: diva2:934022
Conference
23rd International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition, Toronto, Ontario, Canada, May 30 - June 5, 2015
Available from: 2016-06-07 Created: 2016-06-07 Last updated: 2016-06-23Bibliographically approved

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West, JanneRomu, ThobiasSpetz, Anna-ClaraLindblom, HannaLindh Åstrand, LottaBorga, MagnusHammar, MatsDahlqvist Leinhard, Olof
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Department of Medical and Health SciencesFaculty of Medicine and Health SciencesCenter for Medical Image Science and Visualization (CMIV)Medical InformaticsFaculty of Science & EngineeringDivision of Clinical SciencesDepartment of Gynaecology and Obstetrics in LinköpingDivision of PhysiotherapyDivision of Radiological SciencesDepartment of Radiation Physics
Radiology, Nuclear Medicine and Medical ImagingMedical Image Processing

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ReferencesLink to record
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