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Automated Assessmen...
Automated Assessment of Whole-Body Adipose Tissue Depots From Continuously Moving Bed MRI : A Feasibility Study
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- Kullberg, Joel (author)
- Uppsala universitet,Enheten för radiologi
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- Johansson, Lars (author)
- Uppsala universitet,Enheten för radiologi
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- Ahlström, Håkan (author)
- Uppsala universitet,Enheten för radiologi
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- Courivaud, Frederic (author)
- MR Clinical Science, Philips Healthcare, Oslo, Norway.
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- Koken, Peter (author)
- Philips Research Europe, Hamburg, Germany
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- Eggers, Holger (author)
- Philips Research Europe, Hamburg, Germany
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- Börnert, Peter (author)
- Philips Research Europe, Hamburg, Germany
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(creator_code:org_t)
- Wiley, 2009
- 2009
- English.
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In: Journal of Magnetic Resonance Imaging. - : Wiley. - 1053-1807 .- 1522-2586. ; 30:1, s. 185-193
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
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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
Publication and Content Type
- ref (subject category)
- art (subject category)
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