Segmentation-free and multiscale-free extraction of medial information using gradient vector flow - Application to vascular structures
Makram-Ebeid, Sherif; Bloch, Isabelle; Angelini, Elsa D.; Prevost, Raphaël; Pizaine, Guillaume (2012-09-03), Segmentation-free and multiscale-free extraction of medial information using gradient vector flow - Application to vascular structures, 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012, IEEE, p. 258-261. http://dx.doi.org/10.1109/ISBI.2012.6235533
Type
Communication / ConférenceExternal document link
http://hal.archives-ouvertes.fr/hal-00722958Date
2012-09-03Conference title
ISBI 2012Conference date
2012-05Conference city
BarceloneConference country
EspagneBook title
9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012Publisher
IEEE
ISBN
Print ISBN: 978-1-4577-1857-1 E-ISBN : 978-1-4577-1858-8
Pages
258-261
Publication identifier
Metadata
Show full item recordAuthor(s)
Makram-Ebeid, SherifBloch, Isabelle

Angelini, Elsa D.
Prevost, Raphaël
Pizaine, Guillaume
Abstract (EN)
Gradient Vector Flow has become a popular method to recover medial information in medical imaging, in particular for vessels centerline extraction. This renewed interest has been motivated by its ability to proceed from gray-scale images, without prior segmentation. However, another interesting property lies in the diffusion process used to solve the corresponding variational problem. We propose a method to recover scale information in the context of vascular structures extraction, relying on analytical properties of the Gradient Vector Flow only, with no multiscale analysis. Through simple one-dimensional considerations, we demonstrate the ability of our approach to estimate the radii of the vessels with an error of 10% only in the presence of noise and less than 3% without noise. Our approach is evaluated on convolved bar-like templates and is illustrated on 2D X-ray angiographies. (c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. This paper is also available with the following DOI: http://dx.doi.org/DOI10.1109/ISBI.2012.6235533Subjects / Keywords
model-based segmentation; Coronary arteriesRelated items
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