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Test-retest reliability of automated whole body and compartmental muscle volume measurements on a wide bore 3T MR system
Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK..
Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK..
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 Health Sciences. Östergötlands Läns Landsting, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
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2014 (English)In: European Radiology, ISSN 0938-7994, E-ISSN 1432-1084, Vol. 24, no 9, 2279-2291 p.Article in journal (Refereed) Published
Abstract [en]

PURPOSE:

To measure the test-retest reproducibility of an automated system for quantifying whole body and compartmental muscle volumes using wide bore 3 T MRI.

MATERIALS AND METHODS:

Thirty volunteers stratified by body mass index underwent whole body 3 T MRI, two-point Dixon sequences, on two separate occasions. Water-fat separation was performed, with automated segmentation of whole body, torso, upper and lower leg volumes, and manually segmented lower leg muscle volumes.

RESULTS:

Mean automated total body muscle volume was 19·32 L (SD9·1) and 19·28 L (SD9·12) for first and second acquisitions (Intraclass correlation coefficient (ICC) = 1·0, 95 % level of agreement -0·32-0·2 L). ICC for all automated test-retest muscle volumes were almost perfect (0·99-1·0) with 95 % levels of agreement 1.8-6.6 % of mean volume. Automated muscle volume measurements correlate closely with manual quantification (right lower leg: manual 1·68 L (2SD0·6) compared to automated 1·64 L (2SD 0·6), left lower leg: manual 1·69 L (2SD 0·64) compared to automated 1·63 L (SD0·61), correlation coefficients for automated and manual segmentation were 0·94-0·96).

CONCLUSION:

Fully automated whole body and compartmental muscle volume quantification can be achieved rapidly on a 3 T wide bore system with very low margins of error, excellent test-retest reliability and excellent correlation to manual segmentation in the lower leg.

KEY POINTS:

• Sarcopaenia is an important reversible complication of a number of diseases. • Manual quantification of muscle volume is time-consuming and expensive. • Muscles can be imaged using in and out of phase MRI. • Automated atlas-based segmentation can identify muscle groups. • Automated muscle volume segmentation is reproducible and can replace manual measurements.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2014. Vol. 24, no 9, 2279-2291 p.
Keyword [en]
Segmentation, MRI, Muscle, Volume, Reliablity
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-107069DOI: 10.1007/s00330-014-3226-6ISI: 000340519200029PubMedID: 24871333OAI: oai:DiVA.org:liu-107069DiVA: diva2:721549
Available from: 2014-06-04 Created: 2014-06-04 Last updated: 2017-12-05

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Dahlqvist Leinhard, OlofKarlsson, AnetteBorga, Magnus

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Dahlqvist Leinhard, OlofKarlsson, AnetteBorga, Magnus
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Center for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesFaculty of Health SciencesDepartment of Radiation PhysicsMedical InformaticsThe Institute of Technology
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European Radiology
Radiology, Nuclear Medicine and Medical ImagingMedical Image Processing

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