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A New interactive method for coronary arteries segmentation based on tubular anisotropy

Cohen, Laurent D.; Benmansour, Fethallah (2009), A New interactive method for coronary arteries segmentation based on tubular anisotropy, Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on, IEEE, p. 41-44. http://dx.doi.org/10.1109/ISBI.2009.5192978

Type
Communication / Conférence
Date
2009
Conference title
ISBI 2009
Conference date
2009-07
Conference city
Boston
Conference country
États-Unis
Book title
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Publisher
IEEE
ISBN
E-ISBN : 978-1-4244-3932-4 Print ISBN: 978-1-4244-3931-7
Pages
41-44
Publication identifier
http://dx.doi.org/10.1109/ISBI.2009.5192978
Metadata
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Author(s)
Cohen, Laurent D.
Benmansour, Fethallah
Abstract (EN)
In this paper we present a new interactive method for tubular structure extraction. The main application and motivation for this work is vessel tracking in 3D medical images. The basic tools are minimal paths solved using the fast marching algorithm. This leads to interactive tools for the physician by clicking on a small number of points in order to obtain a minimal path between two points or a set of paths in the case of a tree structure. Our method is based on a variant of the minimal path method that models the vessel as a centerline and surface by adding one dimension for the local radius around the centerline. The crucial step of our method is the definition of the local metrics to minimize (based on the local orientation using a Riemannian Metric). This approach is made available for the physician using an Object Oriented Language (OOL) interface. We show results on two CT cardiac images for coronary arteries segmentation.
Subjects / Keywords
Minimal path method; 3D medical images; tubular structure; anisotropy; segmenting images 3D

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