Quantification of human body fat tissue percentage by MRI

  • Müller H
  • Raudies F
  • Unrath A
 et al. 
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Abstract

The MRI-based evaluation of the quantity and regional distribution
of adipose tissue is one objective measure in the investigation of
obesity. The aim of this article was to report a comprehensive and
automatic analytical method for the determination of the volumes
of subcutaneous fat tissue (SFT) and visceral fat tissue (VFT) in
either the whole human body or selected slices or regions of interest.
Using an MRI protocol in an examination position that was convenient
for volunteers and patients with severe diseases, 22 healthy subjects
were examined. The software platform was able to merge MRI scans
of several body regions acquired in separate acquisitions. Through
a cascade of image processing steps, SFT and VFT volumes were calculated.
Whole-body SFT and VFT distributions, as well as fat distributions
of defined body slices, were analysed in detail. Complete three-dimensional
datasets were analysed in a reproducible manner with as few operator-dependent
interventions as possible. In order to determine the SFT volume,
the ARTIS (Adapted Rendering for Tissue Intensity Segmentation) algorithm
was introduced. The advantage of the ARTIS algorithm was the delineation
of SFT volumes in regions in which standard region grow techniques
fail. Using the ARTIS algorithm, an automatic SFT volume detection
was feasible. MRI data analysis was able to determine SFT and VFT
volume percentages using new analytical strategies. With the techniques
described, it was possible to detect changes in SFT and VFT percentages
of the whole body and selected regions. The techniques presented
in this study are likely to be of use in obesity-related investigations,
as well as in the examination of longitudinal changes in weight during
various medical conditions. Copyright (c) 2010 John Wiley & Sons,
Ltd.

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Authors

  • H P Müller

  • F Raudies

  • A Unrath

  • H Neumann

  • A C Ludolph

  • J Kassubek

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