Semi-automated analysis of supraclavicular thermal images increases speed of brown adipose tissue analysis without increasing variation in results.

ABSTRACT: Interest in brown adipose tissue remains high a decade after it was determined to be present outside of the neonatal period. In vivo imaging, however, has remained a challenge due to the lack of a imaging modality suitable for large healthy-volunteer studies, post-prandial investigations and vulnerable groups, such as children. Infrared thermography is increasingly accepted as a valid, non-invasive and flexible alternative but there is a wide approach to analysis between different groups. Defining the region of interest with anatomical borders rather than using a simple polygon may have advantages in terms of consistency but makes image analysis slower, limiting some applications. Our novel semi-automated method, using a custom-built graphical user interface, allows an 86% improvement in s

SUBMITTER: Law JM 

PROVIDER: S-EPMC8562194 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature