Artificial intelligence-aided CT segmentation for body composition analysis: a validation study

202152 citationsJournal Articlegold Open Access

Authors

Pablo Borrelli · Sahlgrenska University Hospital

Reza Kaboteh · Sahlgrenska University Hospital

Olof Enqvist · Chalmers University of Technology

Johannes Ulén · Chalmers University of Technology

Elin Trägårdh · Lund University

Henrik Kjölhede · Sahlgrenska University Hospital

Lars Edenbrandt

Abstract

The AI-based tool for quantification of SAT and muscle volumes showed high accuracy and reproducibility and provided a body composition analysis that is more relevant than manual analysis of a single CT slice.

Topics & Keywords

Body Composition Measurement Techniques Nutrition and Health in Aging Cardiovascular Disease and Adiposity

Publication Details

Published in: European Radiology Experimental

Volume 5, Issue 1, pp. 11-11

DOI: 10.1186/s41747-021-00210-8

Field-Weighted Citation Impact: 4.09

Command Palette

Artificial intelligence-aided CT segmentation for body composition analysis: a validation study

Authors

Abstract

Topics & Keywords

Publication Details