Anqi Zhou1, Horacio Murillo, Qi Peng. 1. Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Abstract
PURPOSE: 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. RESULTS: 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. CONCLUSION: 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.
PURPOSE: 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. RESULTS: 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. CONCLUSION: 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.
Authors: Faezeh Fallah; Jürgen Machann; Petros Martirosian; Fabian Bamberg; Fritz Schick; Bin Yang Journal: MAGMA Date: 2016-09-16 Impact factor: 2.310