Impact of partial volume effects on visceral adipose tissue quantification using MRI
Article first published online: 30 SEP 2011
Copyright © 2011 Wiley Periodicals, Inc.
Journal of Magnetic Resonance Imaging
Volume 34, Issue 6, pages 1452–1457, December 2011
How to Cite
Zhou, A., Murillo, H. and Peng, Q. (2011), Impact of partial volume effects on visceral adipose tissue quantification using MRI. J. Magn. Reson. Imaging, 34: 1452–1457. doi: 10.1002/jmri.22824
- Issue published online: 18 NOV 2011
- Article first published online: 30 SEP 2011
- Manuscript Accepted: 31 AUG 2011
- Manuscript Received: 15 SEP 2010
- abdominal MRI;
- visceral adipose tissue;
- body composition;
- partial volume effects
To quantitatively estimate the impact of partial volume effects on visceral adipose tissue (VAT) quantification using typical resolution magnetic resonance imaging (MRI).
Materials and Methods:
Nine normal or overweight subjects were scanned at central abdomen levels with a water-saturated, balanced steady-state free precession (b-SSFP) sequence. The water-saturation effectiveness was evaluated with region-of-interest analysis on fat, muscle, bowel, and noise areas. The number of full-volume (FV) and partial-volume (PV) fat pixels was estimated based on a gray-level histogram model of water-saturated images. Both FV and PV fat amounts were quantified.
High-quality, fat-only images were generated with the b-SSFP imaging method. Fat SNR was 77.7 ± 25.6 and water-saturation was effective, with the average fat-to-water signal intensity ratio = 20.7 ± 3.8. The average ratio of partial- to full-volume fat amounts was 104.0%. The ratio was higher with lower body mass index (BMI) and PV fat amount only increased slightly when BMI increased.
PV fat contributes a significant amount of fat to fat measurements on typical spatial resolution MRI on normal and overweight subjects. The relative PV fat contribution is markedly higher in slimmer patients. Inclusion of this portion of the adipose tissue will increase overall accuracy and decrease variability of VAT quantification using MRI. J. Magn. Reson. Imaging 2011;. © 2011 Wiley Periodicals, Inc.