NDLI: A geodesic voting method for the segmentation of tubular tree and centerlines

Content Provider	IEEE Xplore Digital Library
Author	Rouchdy, Y. Cohen, L.D.
Copyright Year	2011
Description	Author affiliation: CEREMADE, UMR 7534, Université Paris Dauphine, 75775 Cedex 16, France (Rouchdy, Y.; Cohen, L.D.)
Abstract	This paper presents a geodesic voting method to segment tree structures, such as cardiac or cerebral blood vessels. Many authors have used minimal cost paths, or similarly geodesics relative to a weight potential P, to find a vessel between two end points. Our goal focuses on the use of a set of such geodesic paths for finding a tubular tree structure, using minimal interaction. This work adapts the geodesic voting method that we have introduced for the segmentation of thin tree structures to the segmentation of centerlines and tubular trees. The original approach of geodesic voting consists in computing geodesics from a set of end points scattered in the image to a given source point. The target structure corresponds to image points with a high geodesic density. Since the potential takes low values on the tree structure, geodesics will locate preferably on this structure and thus the geodesic density should be high. Geodesic voting method gives a good approximation of the localization of the tree branches, but it does not allow to extract the tubular aspect of the tree. Furthermore, geodesic voting does not guarantee that the extracted tree corresponds to the centerline of the tree. Here, we introduce an explicit constraint that moves the high geodesic density to the centerline of the tree and simultaneously approximates the localization of the boundary of the tubular structure. We show results of the segmentation with this approach on 2D angiogram images. This approach can be extended to 3D images in a straight forward manner.
Starting Page	979
Ending Page	983
File Size	609297
Page Count	5
File Format	PDF
ISBN	9781424441273
ISSN	19457928
DOI	10.1109/ISBI.2011.5872566
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Three dimensional displays Pixel Equations Periodic structures Biomedical imaging Mathematical model vessels segmentation Geodesic voting Fast Marching minimal paths tree structure segmentation
Content Type	Text
Resource Type	Article

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