Journal
NMR IN BIOMEDICINE
Volume 28, Issue 12, Pages 1747-1753Publisher
WILEY
DOI: 10.1002/nbm.3432
Keywords
adipose tissue; fat quantitation; obesity; MRI; Dixon; abdominal fat
Funding
- UK Medical Research Council
- Medical Research Council [MC_U120061305] Funding Source: researchfish
- MRC [MC_U120061305] Funding Source: UKRI
Ask authors/readers for more resources
Central obesity is the hallmark of a number of non-inheritable disorders. The advent of imaging techniques such as MRI has allowed for a fast and accurate assessment of body fat content and distribution. However, image analysis continues to be one of the major obstacles to the use of MRI in large-scale studies. In this study we assess the validity of the recently proposed fat-muscle quantitation system (AMRA (TM) Profiler) for the quantification of intra-abdominal adipose tissue (IAAT) and abdominal subcutaneous adipose tissue (ASAT) from abdominal MR images. Abdominal MR images were acquired from 23 volunteers with a broad range of BMIs and analysed using sliceOmatic, the current gold-standard, and the AMRA (TM) Profiler based on a non-rigid image registration of a library of segmented atlases. The results show that there was a highly significant correlation between the fat volumes generated by the two analysis methods, (Pearson correlation r = 0.97, p < 0.001), with the AMRA (TM) Profiler analysis being significantly faster (similar to 3 min) than the conventional sliceOmatic approach (similar to 40 min). There was also excellent agreement between the methods for the quantification of IAAT (AMRA 4.73 +/- 1.99 versus sliceOmatic 4.73 +/- 1.75 l, p = 0.97). For the AMRA (TM) Profiler analysis, the intra-observer coefficient of variation was 1.6% for IAAT and 1.1% for ASAT, the inter-observer coefficient of variation was 1.4% for IAAT and 1.2% for ASAT, the intra-observer correlation was 0.998 for IAAT and 0.999 for ASAT, and the inter-observer correlation was 0.999 for both IAAT and ASAT. These results indicate that precise and accurate measures of body fat content and distribution can be obtained in a fast and reliable form by the AMRA (TM) Profiler, opening up the possibility of large-scale human phenotypic studies. Copyright (C) 2015 John Wiley & Sons, Ltd.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available