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Proceedings Paper

Automated 3D-stent localization from intravascular ultrasound image sequences
Author(s): Michael Schmauder; Steffen Zeiler; C. M. Gross; Juergen Waigand; Reinhold Orglmeister
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Paper Abstract

This paper presents a new method for automated detection of stents. The method consists of three sequential steps. At first, a 3D to 2D projection procedure is applied to find the global stent location. A local search strategy was designed, using a combination of characteristic image features to extract the sampling point candidates of the stent in each of the original cross-sectional images. Finally, the preselected points are accepted or rejected depending on a set of a priori criteria for position and shape. Using the resulting stent points, geometrical parameters of the stent are automatically calculated and a wire frame model is generated for 3D surface reconstruction. Thus, in combination with our algorithms for automated detection of the lumen cross-sectional area, the new method is an essential component for 3D visualization of stents and the automated quantification of the degree of in- stent restenosis. The evaluation is based on in vitro and in vivo recordings. The results show that the new algorithm is well-suited to replace time consuming manual segmentation and measurements.

Paper Details

Date Published: 6 June 2000
PDF: 9 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387656
Show Author Affiliations
Michael Schmauder, Technische Univ. Berlin (Germany)
Steffen Zeiler, Technische Univ. Berlin (Germany)
C. M. Gross, Charite Univ. Hospital (Germany)
Juergen Waigand, Charite Univ. Hospital (Germany)
Reinhold Orglmeister, Technische Univ. Berlin (Germany)

Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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