Automatic segmentation of the wire frame of stent grafts from CT data

Klein, Almar and Vliet van der, J. Adam and Oostveen, Luuk J. and Hoogeveen, Yvonne and Schultze Kool, Leo J. and Renema, W. Klaas Jan and Slump, Cornelis H. (2012) Automatic segmentation of the wire frame of stent grafts from CT data. Medical Image Analysis, 16 (1). pp. 127-139. ISSN 1361-8415

PDF
Restricted to UT campus only: Request a copy
4Mb

Abstract:	Endovascular aortic replacement (EVAR) is an established technique, which uses stent grafts to treat aortic aneurysms in patients at risk of aneurysm rupture. 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.
Item Type:	Article
Copyright:	© 2012 Elsevier
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Signals and Systems (SAS)
Link to this item:	http://purl.utwente.nl/publications/79581
Official URL:	http://dx.doi.org/10.1016/j.media.2011.05.015
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Show download statistics for this publication

Repository Staff Only: item control page