Automatic stent border detection in intravascular ultrasound images

This paper describes a knowledge- and model-based system for the automatic detection of the stent borders in intravascular ultrasound (IVUS) images. The detection consists of four steps starting from a global detection in the transversal images, continues with a local detection and optimization in t...

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Bibliographic Details
Published in:International Congress series 2003-06, Vol.1256, p.1111-1116
Main Authors: Dijkstra, Jouke, Koning, Gerhard, Tuinenburg, Joan C, Oemrawsingh, Pranobe V, Reiber, Johan H.C
Format: Article
Language:English
Subjects:
Border detection
Intravascular ultrasound
Knowledge-guided
Quantitative analysis
Stents
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Summary:This paper describes a knowledge- and model-based system for the automatic detection of the stent borders in intravascular ultrasound (IVUS) images. The detection consists of four steps starting from a global detection in the transversal images, continues with a local detection and optimization in the transversal images, and finishes with a model-guided optimization in the volumetric dataset. The method shows to be almost automatic and only fails in situations at the edges of the stent where not enough strut information is available to come up with a meaningful three-dimensional model for the endpoints. The method can be very useful during IVUS-guided stent placement, showing the cardiologist the results of the stent placement online. The location of the smallest stent diameter can be selected automatically, providing the opportunity to optimize the stent placement according to established criteria.
ISSN:0531-5131
1873-6157
DOI:10.1016/S0531-5131(03)00288-7