title: A multiscale tracking algorithm for the coronary extraction in MSCT angiography.
abstract: This paper deals with the extraction of the coronary network on dynamic volume sequences, acquired in multi-slice spiral computed tomography (MSCT). The proposed approach makes use of a tracking algorithm of the vascular structure, combining a 3D geometric moment operator with a multiscale Hessian filter to estimate the vessel central axis location, its local diameter and orientation. The method performs at the same time, a bifurcation detection to reconstitute the structure of the coronary network. The mean computation time to extract a coronary network is about 3 minutes using a P4-2.4G PC. Preliminary encouraging results are presented on one volume of a sequence.
authors.affiliation: Lab. of Image Sci. & Technol., Southeast Univ., Nanjing, PR China.
authors.forename: G
authors.initials: G
authors.lastname: Yang
authors.forename: A
authors.initials: A
authors.lastname: Bousse
authors.forename: C
authors.initials: C
authors.lastname: Toumoulin
authors.forename: H
authors.initials: H
authors.lastname: Shu
mesh_terms: D000465:Algorithms; D001698:Biomedical Engineering; D017023:Coronary Angiography / Q000706:statistics & numerical data*; D003331:Coronary Vessels / Q000033:anatomy & histology; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000706:statistics & numerical data; D008955:Models, Cardiovascular; D012985:Software Design; D036542:Tomography, Spiral Computed / Q000706:statistics & numerical data*