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Automated assessment of whole-body adipose tissue depots from continuously moving bed MRI: a feasibility study.
J Magn Reson Imaging. 2009 Jul; 30(1):185-93.JM

Abstract

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.

Authors+Show Affiliations

Department of Radiology, Uppsala University, Uppsala, Sweden. joel.kullberg@radiol.uu.seNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

19557740

Citation

Kullberg, Joel, et al. "Automated Assessment of Whole-body Adipose Tissue Depots From Continuously Moving Bed MRI: a Feasibility Study." Journal of Magnetic Resonance Imaging : JMRI, vol. 30, no. 1, 2009, pp. 185-93.
Kullberg J, Johansson L, Ahlström H, et al. Automated assessment of whole-body adipose tissue depots from continuously moving bed MRI: a feasibility study. J Magn Reson Imaging. 2009;30(1):185-93.
Kullberg, J., Johansson, L., Ahlström, H., Courivaud, F., Koken, P., Eggers, H., & Börnert, P. (2009). Automated assessment of whole-body adipose tissue depots from continuously moving bed MRI: a feasibility study. Journal of Magnetic Resonance Imaging : JMRI, 30(1), 185-93. https://doi.org/10.1002/jmri.21820
Kullberg J, et al. Automated Assessment of Whole-body Adipose Tissue Depots From Continuously Moving Bed MRI: a Feasibility Study. J Magn Reson Imaging. 2009;30(1):185-93. PubMed PMID: 19557740.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Automated assessment of whole-body adipose tissue depots from continuously moving bed MRI: a feasibility study. AU - Kullberg,Joel, AU - Johansson,Lars, AU - Ahlström,Håkan, AU - Courivaud,Frederic, AU - Koken,Peter, AU - Eggers,Holger, AU - Börnert,Peter, PY - 2009/6/27/entrez PY - 2009/6/27/pubmed PY - 2009/8/20/medline SP - 185 EP - 93 JF - Journal of magnetic resonance imaging : JMRI JO - J Magn Reson Imaging VL - 30 IS - 1 N2 - 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. SN - 1053-1807 UR - https://www.unboundmedicine.com/medline/citation/19557740/Automated_assessment_of_whole_body_adipose_tissue_depots_from_continuously_moving_bed_MRI:_a_feasibility_study_ L2 - https://doi.org/10.1002/jmri.21820 DB - PRIME DP - Unbound Medicine ER -