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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, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Advanced MR Analytics AB, Linköping, Sweden.
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.
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2015 (English)In: International Society for Magnetic Resonance in Medicince Annual Meeting: Proceedings, 2015Conference paper, Abstract (Other academic)
Abstract [en]

The purpose is to develop and demonstrate a rapid whole-body MRI method for automatic quantification of total and regional lean skeletal muscle volume. Quantitative water and fat separated image volumes of the whole body are manually segmented and used as atlases. The atlases are non-rigidly registered onto to a new image volume and the muscle groups are classified using a voting scheme. A leave-one-out approach with subjects scanned in a 1.5 T and a 3.0 T scanner is used for validation. The method quantifies the whole-body skeletal muscle volumes and the volumes of separate muscle groups independently of image resolution.

Place, publisher, year, edition, pages
2015.
Series
, JOURNAL OF MAGNETIC RESONANCE IMAGING, ISSN 1558–1569
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-128991OAI: oai:DiVA.org:liu-128991DiVA: diva2:934021
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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Karlsson, AnetteGrönqvist, AndersBorga, MagnusDahlqvist Leinhard, Olof
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Medical InformaticsFaculty of Science & EngineeringCenter for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesFaculty of Medicine and Health SciencesDepartment of Radiation Physics
Radiology, Nuclear Medicine and Medical ImagingMedical Image Processing

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