MRI adipose tissue segmentation and quantification in R (RAdipoSeg).

ABSTRACT:

Background

Excess adipose tissue is associated with increased cardiovascular and metabolic risk, but the volume of visceral and subcutaneous adipose tissue poses different metabolic risks. MRI with fat suppression can be used to accurately quantify adipose depots. We have developed a new semi-automatic method, RAdipoSeg, for MRI adipose tissue segmentation and quantification in the free and open source statistical software R.

Methods

MRI images were obtained from wild-type mice on high- or low-fat diet, and from 20 human subjects without clinical signs of metabolic dysfunction. For each mouse and human subject, respectively, 10 images were segmented with RAdipoSeg and with the commercially available software SliceOmatic. Jaccard difference, relative volume difference and Spe

SUBMITTER: Haugen C 

PROVIDER: S-EPMC9548171 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature