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Assessment of Body Composition Using Magnetic Resonance Imaging
Uppsala University, Medicinska vetenskapsområdet, Faculty of Medicine, Department of Oncology, Radiology and Clinical Immunology.
2007 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Methods for assessment of body composition allow studies of the complex relationships between body composition and the wellbeing of humans. The amount and distribution of adipose tissue is of great importance in these studies. This thesis describes, proposes, and evaluates new methods for assessment of body composition (amount and distribution of adipose tissue) using magnetic resonance imaging (MRI). The thesis focuses on the use of MRI but includes results from computed tomography (CT) and dual energy X-ray absorptiometry (DEXA). The subject data used originates from cohorts recruited solely for the purpose of the included studies and from the “Prospective Investigation of Vasculature in Uppsala Seniors” (PIVUS) and the Sib-pair (within the framework of the Swedish Obese Subjects - SOS study) studies.

The included studies propose a new acquisition method for whole-body analysis of adipose tissue, a fully automated post processing algorithm for segmentation of visceral and subcutaneous adipose tissue from abdominal MRI data, and anthropometrical measurements for practical estimations of body composition.

The proposed acquisition method for whole-body adipose tissue analysis simplified the analysis of adipose tissue and the results strongly correlated with the results from CT and DEXA analysis. The fully automated post processing algorithm gave reproducible results with relatively high accuracy. Transverse and sagittal abdominal diameters gave information about subcutaneous and visceral adipose tissue, respectively, and an elliptical approximation was found useful in estimation of total amount of abdominal adipose tissue.

The methods proposed in this thesis were found useful for assessment of body composition. The methods were developed with clinical practice in mind and all proposed methods have been used in further studies for assessment of body composition.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis , 2007. , p. 96
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 1651-6206 ; 240
Keywords [en]
Bildanalys, Magnetic Resonance Imaging, Digital Image Processing, Segmentation, Morphology, Body Composition, Whole Body Imaging, Subcutaneous Adipose Tissue, Visceral Adipose Tissue, Anthropometry
Keywords [sv]
Bildanalys
Identifiers
URN: urn:nbn:se:uu:diva-7739ISBN: 978-91-554-6828-6 (print)OAI: oai:DiVA.org:uu-7739DiVA, id: diva2:169864
Public defence
2007-04-27, Grönwallsalen, Entrance No. 70, Akademiska sjukhuset, Uppsala, 13:15
Opponent
Supervisors
Available from: 2007-04-04 Created: 2007-04-04Bibliographically approved
List of papers
1. Whole-body T1 mapping improves the definition of adipose tissue: Consequences for automated image analysis
Open this publication in new window or tab >>Whole-body T1 mapping improves the definition of adipose tissue: Consequences for automated image analysis
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2006 (English)In: Journal of Magnetic Resonance Imaging, ISSN 1053-1807, E-ISSN 1522-2586, Vol. 24, p. 394-401Article in journal (Refereed) Published
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
urn:nbn:se:uu:diva-95581 (URN)10.1002/jmri.20644 (DOI)000239410300019 ()16786577 (PubMedID)
Available from: 2007-04-04 Created: 2007-04-04 Last updated: 2017-12-14Bibliographically approved
2. Whole-body adipose tissue analysis: Comparison of MRI, CT and dual energy X-ray absorptiometry
Open this publication in new window or tab >>Whole-body adipose tissue analysis: Comparison of MRI, CT and dual energy X-ray absorptiometry
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2009 (English)In: British Journal of Radiology, ISSN 0007-1285, E-ISSN 1748-880X, Vol. 82, p. 123-130Article in journal (Refereed) Published
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
urn:nbn:se:uu:diva-95582 (URN)10.1259/bjr/80083156 (DOI)000263462800006 ()19168691 (PubMedID)
Available from: 2007-04-04 Created: 2007-04-04 Last updated: 2017-12-14Bibliographically approved
3. Automated and reproducible segmentation of visceral and subcutaneous adipose tissue from abdominal MRI
Open this publication in new window or tab >>Automated and reproducible segmentation of visceral and subcutaneous adipose tissue from abdominal MRI
2007 (English)In: International Journal of Obesity, ISSN 0307-0565, E-ISSN 1476-5497, Vol. 31, p. 1806-1817Article in journal (Refereed) Published
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
urn:nbn:se:uu:diva-95583 (URN)10.1038/sj.ijo.0803671 (DOI)000251173200005 ()17593903 (PubMedID)
Available from: 2007-04-04 Created: 2007-04-04 Last updated: 2017-12-14Bibliographically approved
4. Practical approach for estimation of subcutaneous and visceral adipose tissue
Open this publication in new window or tab >>Practical approach for estimation of subcutaneous and visceral adipose tissue
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2007 (English)In: Clinical Physiology and Functional Imaging, ISSN 1475-0961, E-ISSN 1475-097X, Vol. 27, no 3, p. 148-153Article in journal (Refereed) Published
Abstract [en]

Objectives: The first objective was to investigate the correlations between anthropometrical measurements and visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) in two cohorts differing in age using magnetic resonance imaging (MRI) as reference. A second objective was to investigate the potential usage of abdominal diameters in practical estimation of adipose tissue compartments using these cohorts. Methods: Measurements of body mass index, waist circumference, sagittal abdominal diameter (sagittal AD) and transverse abdominal diameter (transverse AD) were obtained from 336 volunteers of age 14-70 years. Manual measurements of VAT and SAT from single slice MRI at the L4-L5 level were used as reference. The abdominal diameters were measured from the MR images. Linear correlations between the anthropometrical measurements and the reference were studied. Results: Sagittal AD showed the strongest correlation to VAT (r > 0·780, P<0·0001) and transverse AD was found to give information about the amount of SAT (r > 0·866, P<0·0001). The ellipse spanned by the sagittal AD and the transverse AD was strongly correlated to the total amount of adipose tissue (r ≥ 0·962 P<0·0001). Conclusion: Strong correlations were found between sagittal and transverse abdominal diameters, assessed using MRI, and VAT and SAT, respectively. These results suggest the use of abdominal diameters in practical estimations of VAT and SAT depots.

Keywords
Anthropometry, Elliptical approximation, Magnetic resonance imaging, Sagittal abdominal diameter, Subcutaneous adipose tissue, Transverse abdominal diameter, Visceral adipose tissue
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:uu:diva-95584 (URN)10.1111/j.1475-097X.2007.00728.x (DOI)000245674300004 ()17445065 (PubMedID)
Available from: 2007-04-04 Created: 2007-04-04 Last updated: 2017-12-14Bibliographically approved

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