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Repeatability and accuracy of a novel, MRI-based, semi-automated analysis method for quantifying abdominal adipose tissue and thigh muscle volumes
Department of Radiology, University of California, San Diego, San Diego, CA, United States.
Department of Radiology, University of California, San Diego, San Diego, CA, United States.
Department of Radiology, University of California, San Diego, San Diego, CA, United States.
Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV. Linköpings universitet, Institutionen för medicinsk teknik, Medicinsk informatik. Linköpings universitet, Tekniska fakulteten. Advanced MR Analytics AB, Linköping, Sweden.ORCID-id: 0000-0002-9267-2191
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2016 (engelsk)Konferansepaper, Poster (with or without abstract) (Annet vitenskapelig)
Abstract [en]

Current MRI methods to estimate body tissue compartment volumes rely on manual segmentation, which is laborious, expensive, not widely available outside specialized centers, and not standardized. To address these concerns, a novel, semi-automated image analysis method has been developed. Image acquisition takes about six minutes, and uses widely available MRI pulse sequences. We found that this method permits comprehensive body compartment analysis and provides high repeatability and accuracy. Current and future clinical and drug development studies may benefit from this methodology, as may clinical settings where monitoring change in these measures is desired.

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2016.
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Identifikatorer
URN: urn:nbn:se:liu:diva-128988OAI: oai:DiVA.org:liu-128988DiVA, id: diva2:933996
Konferanse
International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition, Singapore, May 7-13, 2016
Tilgjengelig fra: 2016-06-07 Laget: 2016-06-07 Sist oppdatert: 2019-06-14bibliografisk kontrollert

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