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Proceedings Paper

Automated volumetric stent analysis of in-vivo intracoronary optical coherence tomography three-dimensional datasets
Author(s): Giovanni J. Ughi; Tom Adriaenssens; Kevin Onsea; Christophe Dubois; Mark Coosemans; Peter Sinnaeve; Walter Desmet; Jan D'hooge
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Paper Abstract

Intra-vascular Optical Coherence Tomography (IV-OCT) is an appropriate imaging modality for the evaluation of stent struts apposition and coverage in the coronary arteries. Most often, image analysis is performed by a time-consuming manual contour tracing process. Recently, we proposed an algorithm for fully automated lumen morphology and individual stent struts apposition/coverage quantification. In this manuscript further developments allowing for automatic segmentation of the stent contour are presented. As such, quantification of in-stent area, malapposition cross-sectional area (i.e. the area representing the space from the stent surface to the vessel wall) and coverage cross-sectional area (i.e. the area of the tissue covering the stent surface) are automatically obtained. Volumetric measurements of malapposition and coverage are then achieved through the analysis of equally-spaced consecutive IV-OCT cross-sectional images. In addition, uncovered and malapposed struts are automatically clustered through consecutive slices according to their three-dimensional spatial position. Finally, properties of each cluster (e.g. malapposition/coverage volumes and struts spatial location and distribution) are quantified allowing for a volumetric analysis of the implanted device. Validation of the algorithm was obtained taking as a reference manual measurements performed by an expert cardiologist. 102 in-vivo images, taken at random from 8 different patients, were both automatically and manually analyzed quantifying lumen and stent area. High Pearson's correlation coefficients (Rarea = 0.99) and Bland-Altman statistics, showing no significant bias and good limits of agreement, proved that the presented algorithm provides a robust and fast tool to automatically estimate apposition and coverage of stent through an entire in-vivo IV-OCT pullback. Such a tool will be important for the integration of this technology in clinical routine and large clinical trials.

Paper Details

Date Published: 1 June 2011
PDF: 8 pages
Proc. SPIE 8091, Optical Coherence Tomography and Coherence Techniques V, 809110 (1 June 2011); doi: 10.1117/12.889637
Show Author Affiliations
Giovanni J. Ughi, Catholic Univ. Leuven (Belgium)
Tom Adriaenssens, Univ. Hospitals Leuven (Belgium)
Kevin Onsea, Univ. Hospitals Leuven (Belgium)
Christophe Dubois, Catholic Univ. Leuven (Belgium)
Univ. Hospitals Leuven (Belgium)
Mark Coosemans, Univ. Hospitals Leuven (Belgium)
Peter Sinnaeve, Catholic Univ. Leuven (Belgium)
Univ. Hospitals Leuven (Belgium)
Walter Desmet, Catholic Univ. Leuven (Belgium)
Univ. Hospitals Leuven (Belgium)
Jan D'hooge, Catholic Univ. Leuven (Belgium)


Published in SPIE Proceedings Vol. 8091:
Optical Coherence Tomography and Coherence Techniques V
Rainer A. Leitgeb; Brett E. Bouma, Editor(s)

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