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Title:

Contour segmentation of the intima, media, and adventitia layers in intracoronary OCT images: application to fully automatic detection of healthy wall regions

Document type:
Zeitschriftenaufsatz
Author(s):
Zahnd, G.; Hoogendoorn, A.; Combaret, N.; Karanasos, A.; Pé ry, E.; Sarry, L.; Motreff, P.; Niessen, W.; Regar, E.; van Soest, G.; Gijsen, F.; van Walsum, T.
Abstract:
Purpose. Quantitative and automatic analysis of intracoronary optical coherence tomography images is useful to assess cardiovascular risk in the clinical arena. Methods. First, the interfaces of the intima, media and adventitia layers are segmented, by means of an original front propagation scheme, running in a multi-parametric space, to simultaneously extract three non-crossing contours in the initial cross-sectional image. Second, information resulting from the tentative contours is exploit...     »
Keywords:
Optical coherence tomography,Coronary artery,Contour segmentation,Machine learning
Journal title:
International Journal of Computer Assisted Radiology and Surgery
Year:
2017
Journal volume:
12
Journal issue:
11
Pages contribution:
1923--1936
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