Semi---automated subcutaneous and visceral adipose tissue quantification in computed tomography

Authors:
Marcel Koek;Frederico Bastos Goncalves;Don Poldermans;Wiro Niessen;Rashindra Manniesing
Affiliations:
Departments of Radiology & Medical Informatics, Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands;Department of Vascular Surgery, Erasmus MC, Rotterdam, The Netherlands;Department of Vascular Surgery, Erasmus MC, Rotterdam, The Netherlands;Departments of Radiology & Medical Informatics, Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands and Imaging Science & Technology, Department of Applied Sciences, ...;Departments of Radiology & Medical Informatics, Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands and Diagnostic Image Analysis Group, Department of Radiology, RUNMC, ...
Venue:
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Year:
2011

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Abstract

In this study we propose a novel method for semi---automated 3D quantification of subcutaneous and visceral adipose tissue from CTA data. The method differentiates between subcutaneous and visceral adipose tissue by using gradient based deformable models using simplex meshes. The performance of the method is evaluated against a reference standard containing 27 manually annotated CTA scans made by expert observers. The quality of the reference standard is assessed by intra- and interobserver variability. The performance of the semi---automated method is evaluated against the reference standard by Pearson linear correlation and Bland and Altman analysis.