title: Quantitative analysis of vascular images, in particular of abdominal aorta aneurysms from 3D CTA data sets.
abstract: This article presents a combination of well known image processing techniques to automatically segment CTA images of the Abdominal Aortic Aneurysm. Current results are that about 80% of the contours need no manual corrections. The remaining 20% fail due to calcified plaque close to the lumen border. After correction a 3D surface model is created from the 2D contours which is used as input for flow simulations and for parameter extraction of the AAA by clinicians for selecting the proper size and shape endograft, and to plan the placement procedure of this endograft in the patient.
authors.affiliation: Leiden University Medical Center, Leiden, The Netherlands.
authors.forename: J A
authors.initials: JA
authors.lastname: Schaap
authors.forename: P J H
authors.initials: PJ
authors.lastname: de Koning
authors.forename: J P
authors.initials: JP
authors.lastname: Janssen
authors.forename: R J
authors.initials: RJ
authors.lastname: van der Geest
authors.forename: J H C
authors.initials: JH
authors.lastname: Reiber
mesh_terms: D000465:Algorithms; D001012:Aorta, Abdominal / Q000000981:diagnostic imaging; D017544:Aortic Aneurysm, Abdominal / Q000000981:diagnostic imaging*; D001027:Aortography / Q000379:methods; D003198:Computer Simulation; D018056:Hemorheology / Q000379:methods; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008955:Models, Cardiovascular; D012985:Software Design; D014057:Tomography, X-Ray Computed / Q000379:methods*