Three dimensional active contours for the reconstruction of abdominal aortic aneurysms

Avinash Ayyalasomayajula, Andrew Polk, Anirban Basudhar, Samy Missoum, Lavi Nissim, Jonathan P. Vande Geest

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


An aneurysm is a gradual and progressive ballooning of a blood vessel due to wall degeneration. Rupture of abdominal aortic aneurysm (AAA) constitutes a significant portion of deaths in the US. In this study, we describe a technique to reconstruct AAA geometry from CT images in an inexpensive and streamlined fashion. A 3D reconstruction technique was implemented with a GUI interface in MATLAB using the active contours technique. The lumen and the thrombus of the AAA were segmented individually in two separate protocols and were then joined together into a hybrid surface. This surface was then used to obtain the aortic wall. This method can deal with very poor contrast images where the aortic wall is indistinguishable from the surrounding features. Data obtained from the segmentation of image sets were smoothed in 3D using a Support Vector Machine technique. The segmentation method presented in this paper is inexpensive and has minimal user-dependency in reconstructing AAA geometry (lumen and wall) from patient image sets. The AAA model generated using this segmentation algorithm can be used to study a variety of biomechanical issues remaining in AAA biomechanics including stress estimation, endovascular stent-graft performance, and local drug delivery studies.

Original languageEnglish (US)
Pages (from-to)164-176
Number of pages13
JournalAnnals of Biomedical Engineering
Issue number1
StatePublished - Jan 2010


  • 3D smoothing
  • Computed tomography
  • Deformable model
  • Imaging
  • Snakes
  • Support vector machines

ASJC Scopus subject areas

  • Biomedical Engineering


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