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International MICCAI Workshop on Computational and Clinical Challenges in Abdominal Imaging

ABD-MICCAI 2011: Abdominal Imaging. Computational and Clinical Applications pp 215–222Cite as

Semi–automated Subcutaneous and Visceral Adipose Tissue Quantification in Computed Tomography

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7029))

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.

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Author information

Authors and Affiliations

  1. Departments of Radiology & Medical Informatics, Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands

    Marcel Koek, Wiro Niessen & Rashindra Manniesing

  2. Department of Vascular Surgery, Erasmus MC, Rotterdam, The Netherlands

    Frederico Bastos Goncalves & Don Poldermans

  3. Imaging Science & Technology, Department of Applied Sciences, Delft University of Technology, Delft, The Netherlands

    Wiro Niessen

  4. Diagnostic Image Analysis Group, Department of Radiology, RUNMC, Nijmegen, The Netherlands

    Rashindra Manniesing

Authors
  1. Marcel Koek
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  2. Frederico Bastos Goncalves
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  3. Don Poldermans
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  4. Wiro Niessen
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  5. Rashindra Manniesing
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Editor information

Editors and Affiliations

  1. Department of Radiology, Massachusetts General Hospital, 25 New Chardon Street, Suite 400C, 02114, Boston, MA, USA

    Hiroyuki Yoshida

  2. Fraunhofer-Institut für Graphische Datenverarbeitung (IGD), Abteilung Cognitive Computing and Medical Imaging, Fraunhoferstraße 5, 64283, Darmstadt, Gemany

    Georgios Sakas

  3. Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Medical Center, 111 Michigan Avenue, NW, 20010-2916, Washington, DC, USA

    Marius George Linguraru

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© 2012 Springer-Verlag Berlin Heidelberg

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Koek, M., Goncalves, F.B., Poldermans, D., Niessen, W., Manniesing, R. (2012). Semi–automated Subcutaneous and Visceral Adipose Tissue Quantification in Computed Tomography. In: Yoshida, H., Sakas, G., Linguraru, M.G. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2011. Lecture Notes in Computer Science, vol 7029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28557-8_27

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  • DOI: https://doi.org/10.1007/978-3-642-28557-8_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28556-1

  • Online ISBN: 978-3-642-28557-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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