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Proceedings Paper

A comparison of two methods to segment stent grafts in CT data
Author(s): Almar Klein; Michel Klaassen; Luuk J. Oostveen; J. Adam van der Vliet; Yvonne Hoogeveen; Leo J. Schultze Kool M.D.; W. KlaasJan Renema; Cornelis H. Slump
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Paper Abstract

Late stent graft failure is a serious complication in endovascular repair of aortic aneurysms. Better understanding of the motion characteristics of stent grafts will be beneficial for designing future devices. In addition, analysis of stent graft movement in individual patients in vivo can be valuable for predicting stent graft failure in these patients. To be able to gather information on stent graft motion in a quick and robust fashion, an automatic segmentation method is required. In this work we compare two segmentation methods that produce a geometric model in the form of an undirected graph. The first method tracks along the centerline of the stent and segments the stent in 2D slices sampled orthogonal to it. The second method used a modified version of the minimum cost path (MCP) method to segment the stent directly in 3D. Using annotated reference data both methods were evaluated in an experiment. The results show that the centerline-based method and the MCP-based method have an accuracy of approximately 65% and 92%, respectively. The difference in accuracy can be explained by the fact that the centerline method makes assumptions about the topology of the stent which do not always hold in practice. This causes difficulties that are hard and sometimes impossible to overcome. In contrast, the MCP-based method works directly in 3D and is capable of segmenting a large variety of stent shapes and stent types.

Paper Details

Date Published: 13 April 2012
PDF: 10 pages
Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 83170H (13 April 2012); doi: 10.1117/12.911296
Show Author Affiliations
Almar Klein, Univ. Twente (Netherlands)
Michel Klaassen, Univ. Twente (Netherlands)
Luuk J. Oostveen, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
J. Adam van der Vliet, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Yvonne Hoogeveen, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Leo J. Schultze Kool M.D., Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
W. KlaasJan Renema, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Cornelis H. Slump, Univ. Twente (Netherlands)

Published in SPIE Proceedings Vol. 8317:
Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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