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Automated Assessment of Whole-Body Adipose Tissue Depots From Continuously Moving Bed MRI : A Feasibility Study

Kullberg, Joel (author)
Uppsala universitet,Enheten för radiologi
Johansson, Lars (author)
Uppsala universitet,Enheten för radiologi
Ahlström, Håkan (author)
Uppsala universitet,Enheten för radiologi
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Courivaud, Frederic (author)
MR Clinical Science, Philips Healthcare, Oslo, Norway.
Koken, Peter (author)
Philips Research Europe, Hamburg, Germany
Eggers, Holger (author)
Philips Research Europe, Hamburg, Germany
Börnert, Peter (author)
Philips Research Europe, Hamburg, Germany
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 (creator_code:org_t)
Wiley, 2009
2009
English.
In: Journal of Magnetic Resonance Imaging. - : Wiley. - 1053-1807 .- 1522-2586. ; 30:1, s. 185-193
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • PURPOSE: To present an automated algorithm for segmentation of visceral, subcutaneous, and total volumes of adipose tissue depots (VAT, SAT, TAT) from whole-body MRI data sets and to investigate the VAT segmentation accuracy and the reproducibility of all depot assessments. MATERIALS AND METHODS: Repeated measurements were performed on 24 volunteer subjects using a 1.5 Tesla clinical MRI scanner and a three-dimensional (3D) multi-gradient-echo sequence (resolution: 2.1 x 2.1 x 8 mm(3), acquisition time: 5 min 15 s). Fat and water images were reconstructed, and fully automated segmentation was performed. Manual segmentation of the VAT reference was performed by an experienced operator. RESULTS: Strong correlation (R = 0.999) was found between the automated and manual VAT assessments. The automated results underestimated VAT with 4.7 +/- 4.4%. The accuracy was 88 +/- 4.5% and 7.6 +/- 5.7% for true positive and false positive fractions, respectively. Coefficients of variation from the repeated measurements were: 2.32 % +/- 2.61%, 2.25% +/- 2.10%, and 1.01% +/- 0.74% for VAT, SAT, and TAT, respectively. CONCLUSION: Automated and manual VAT results correlated strongly. The assessments of all depots were highly reproducible. The acquisition and postprocessing techniques presented are likely useful in obesity related studies.

Keyword

magnetic resonance imaging
whole-body
water-fat imaging
visceral adipose tissue
subcutaneous adipose tissue
automated segmentation
MEDICINE
MEDICIN

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