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Proceedings Paper

Automatic detection of coronary stent struts in intravascular OCT imaging
Author(s): Kai Pin Tung; Wen Zhe Shi; Luis Pizarro; Hiroto Tsujioka; Hai-Yan Wang; Ricardo Guerrero; Ranil De Silva; Philip Eddie Edwards; Daniel Rueckert
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Paper Abstract

Optical coherence tomography (OCT) is a light-based, high resolution imaging technique to guide stent deployment procedure for stenosis. OCT can accurately differentiate the most superficial layers of the vessel wall as well as stent struts and the vascular tissue surrounding them. In this paper, we automatically detect the struts of coronary stents present in OCT sequences. We propose a novel method to detect the strut shadow zone and accurately segment and reconstruct the strut in 3D. The estimation of the position of the strut shadow zone is the key requirement which enables the strut segmentation. After identification of the shadow zone we use probability map to estimate stent strut positions. This method can be applied to cross-sectional OCT images to detect the struts. Validation is performed using simulated data as well as in four in-vivo OCT sequences and the accuracy of strut detection is over 90%. The comparison against manual expert segmentation demonstrates that the proposed strut identification is robust and accurate.

Paper Details

Date Published: 23 February 2012
PDF: 8 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83150K (23 February 2012); doi: 10.1117/12.911216
Show Author Affiliations
Kai Pin Tung, Imperial College London (United Kingdom)
Wen Zhe Shi, Imperial College London (United Kingdom)
Luis Pizarro, Imperial College London (United Kingdom)
Hiroto Tsujioka, Royal Brompton Hospital, Imperial College London (United Kingdom)
Hai-Yan Wang, Imperial College London (United Kingdom)
Ricardo Guerrero, Imperial College London (United Kingdom)
Ranil De Silva, Royal Brompton Hospital, Imperial College London (United Kingdom)
Philip Eddie Edwards, Imperial College London (United Kingdom)
Daniel Rueckert, Imperial College London (United Kingdom)


Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)

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