Paper
3 July 2001 Semiautomatic aortic endograft localization for postoperative evaluation of endovascular aneurysm treatment
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Abstract
A semi-automatic method for localisation and segmentation of bifurcated aortic endografts in CTA images is presented. The graft position is established through detection of radiopaque markers sewn on the outside of the graft. The user indicates the first and the last marker, whereupon the rest of the markers are detected automatically by second order scaled derivative analysis combined with prior knowledge of graft shape and marker configuration. The marker centres obtained approximate the graft sides and central axis. The graft boundary is determined, either in the original CT slices or in reformatted slices orthogonal to the local graft axis, by maximizing the local gradient in the radial direction along a deformable contour passing through both sides. The method has been applied to ten CTA images. In all cases, an adequate segmentation is obtained. Compared to manual segmentations an average similarity (i.e. relative volume of overlap) of 0.93 +/- 0.02 for the graft body and 0.84 +/- 0.05 for the limbs is found.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marleen de Bruijne, Wiro J. Niessen, J. B. Antoine Maintz, and Max A. Viergever "Semiautomatic aortic endograft localization for postoperative evaluation of endovascular aneurysm treatment", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431111
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Cited by 6 scholarly publications.
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KEYWORDS
Image segmentation

Computer programming

Surgery

Arteries

Medical imaging

3D image processing

Metals

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