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Proceedings Paper

Detection and visualization of endoleaks in CT data for monitoring of thoracic and abdominal aortic aneurysm stents
Author(s): J. Lu; J. Egger; A. Wimmer; S. Großkopf; B. Freisleben
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Paper Abstract

In this paper we present an efficient algorithm for the segmentation of the inner and outer boundary of thoratic and abdominal aortic aneurysms (TAA & AAA) in computed tomography angiography (CTA) acquisitions. The aneurysm segmentation includes two steps: first, the inner boundary is segmented based on a grey level model with two thresholds; then, an adapted active contour model approach is applied to the more complicated outer boundary segmentation, with its initialization based on the available inner boundary segmentation. An opacity image, which aims at enhancing important features while reducing spurious structures, is calculated from the CTA images and employed to guide the deformation of the model. In addition, the active contour model is extended by a constraint force that prevents intersections of the inner and outer boundary and keeps the outer boundary at a distance, given by the thrombus thickness, to the inner boundary. Based upon the segmentation results, we can measure the aneurysm size at each centerline point on the centerline orthogonal multiplanar reformatting (MPR) plane. Furthermore, a 3D TAA or AAA model is reconstructed from the set of segmented contours, and the presence of endoleaks is detected and highlighted. The implemented method has been evaluated on nine clinical CTA data sets with variations in anatomy and location of the pathology and has shown promising results.

Paper Details

Date Published: 17 March 2008
PDF: 7 pages
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69181F (17 March 2008); doi: 10.1117/12.769414
Show Author Affiliations
J. Lu, Siemens Medical Solutions (Germany)
Friedrich-Alexander Univ. of Erlangen-Nuremberg (Germany)
J. Egger, Siemens Medical Solutions (Germany)
Philipps-Univ. of Marburg (Germany)
A. Wimmer, Siemens Medical Solutions (Germany)
Friedrich-Alexander Univ. of Erlangen-Nuremberg (Germany)
S. Großkopf, Siemens Medical Solutions (Germany)
B. Freisleben, Philipps-Univ. of Marburg (Germany)

Published in SPIE Proceedings Vol. 6918:
Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kevin Robert Cleary, Editor(s)

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