liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
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.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering. Advanced MR Analytics AB, Linköping, Sweden.ORCID iD: 0000-0002-9267-2191
Show others and affiliations
2016 (English)Conference paper, Poster (Other academic)
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.

Place, publisher, year, edition, pages
2016.
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-128988OAI: oai:DiVA.org:liu-128988DiVA: diva2:933996
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

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Borga, MagnusDahlqvist Leinhard, OlofRomu, Thobias
By organisation
Center for Medical Image Science and Visualization (CMIV)Medical InformaticsFaculty of Science & EngineeringDivision of Radiological SciencesFaculty of Medicine and Health SciencesDepartment of Radiation Physics
Radiology, Nuclear Medicine and Medical ImagingMedical Image Processing

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 38 hits
ReferencesLink to record
Permanent link

Direct link