NDLI: Vesselwalker: Coronary arteries segmentation using random walks and hessian-based vesselness filter

Content Provider	IEEE Xplore Digital Library
Author	M'hiri, F. Luc Duong Desrosiers, C. Cheriet, M.
Copyright Year	2013
Description	Author affiliation: Dept. of Automated Manuf. Eng., Ecole de Technol. Super., Montreal, QC, Canada (Cheriet, M.) \|\| Dept. of Software, Ecole de Technol. Super., Montreal, QC, Canada (M'hiri, F.; Luc Duong; Desrosiers, C.)
Abstract	The segmentation of vascular structures from 2D X-ray angiographies is an important step for vessel measurement, diagnosis and treatment planning. Segmentation of such structures can be challenging due to the vessel appearance and topology. In this paper, we propose a novel interactive method to segment vascular structures by combining Hessian-based vesselness information and the random walk formulation, in which manually selected seed points can be used to refine the segmentation result. The proposed method was tested on coronary arteries angiograms and has shown to be more accurate than an active contour-based method or the Random Walker algorithm, with a mean AUC of 97.2%.
Sponsorship	IEEE
Starting Page	918
Ending Page	921
File Size	1114760
Page Count	4
File Format	PDF
ISBN	9781467364560
ISSN	19457928
e-ISBN	9781467364553
DOI	10.1109/ISBI.2013.6556625
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Arteries Active contours Angiography Noise measurement Bifurcation coronary arteries Vessel segmentation angiographies random walks graph cuts
Content Type	Text
Resource Type	Article

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