Image Processing

Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography

[+] Author Affiliations
Alexander Norlén, Jennifer Alvén

Chalmers University of Technology, Department of Signals and Systems, Hörsalsvägen 9-11, Gothenburg 412 96, Sweden

David Molnar, Olof Enqvist, Rauni Rossi Norrlund, John Brandberg, Göran Bergström

Gothenburg University, Sahlgrenska Academy, Institute of Medicine, The Wallenberg Laboratory, Bruna stråket 16, Gothenburg 413 45, Sweden

Fredrik Kahl

Chalmers University of Technology, Department of Signals and Systems, Hörsalsvägen 9-11, Gothenburg 412 96, Sweden

Lund University, Faculty of Engineering, Centre for Mathematical Sciences, Sölvegatan 18, Lund 221 00, Sweden

J. Med. Imag. 3(3), 034003 (Sep 15, 2016). doi:10.1117/1.JMI.3.3.034003
History: Received March 3, 2016; Accepted August 29, 2016
Text Size: A A A

Abstract.  Recent findings indicate a strong correlation between the risk of future heart disease and the volume of adipose tissue inside of the pericardium. So far, large-scale studies have been hindered by the fact that manual delineation of the pericardium is extremely time-consuming and that existing methods for automatic delineation lack accuracy. An efficient and fully automatic approach to pericardium segmentation and epicardial fat volume (EFV) estimation is presented, based on a variant of multi-atlas segmentation for spatial initialization and a random forest classifier for accurate pericardium detection. Experimental validation on a set of 30 manually delineated computer tomography angiography volumes shows a significant improvement on state-of-the-art in terms of EFV estimation [mean absolute EFV difference: 3.8 ml (4.7%), Pearson correlation: 0.99] with run times suitable for large-scale studies (52 s). Further, the results compare favorably with interobserver variability measured on 10 volumes.

Figures in this Article
© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Alexander Norlén ; Jennifer Alvén ; David Molnar ; Olof Enqvist ; Rauni Rossi Norrlund, et al.
"Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography", J. Med. Imag. 3(3), 034003 (Sep 15, 2016). ; http://dx.doi.org/10.1117/1.JMI.3.3.034003


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.