title: Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology.
abstract: In the last 20 years, 3D angiographic imaging has proven its usefulness in the context of various clinical applications. However, angiographic images are generally difficult to analyse due to their size and the complexity of the data that they represent, as well as the fact that useful information is easily corrupted by noise and artifacts. Therefore, there is an ongoing necessity to provide tools facilitating their visualisation and analysis, while vessel segmentation from such images remains a challenging task. This article presents new vessel segmentation and filtering techniques, relying on recent advances in mathematical morphology. In particular, methodological results related to spatially variant mathematical morphology and connected filtering are stated, and included in an angiographic data processing framework. These filtering and segmentation methods are evaluated on real and synthetic 3D angiographic data.
authors.affiliation: Université de Strasbourg, LSIIT, UMR 7005, CNRS, France. alice.dufour@unistra.fr
authors.forename: A
authors.initials: A
authors.lastname: Dufour
authors.forename: O
authors.initials: O
authors.lastname: Tankyevych
authors.forename: B
authors.initials: B
authors.lastname: Naegel
authors.forename: H
authors.initials: H
authors.lastname: Talbot
authors.forename: C
authors.initials: C
authors.lastname: Ronse
authors.forename: J
authors.initials: J
authors.lastname: Baruthio
authors.forename: P
authors.initials: P
authors.lastname: Dokládal
authors.forename: N
authors.initials: N
authors.lastname: Passat
mesh_terms: D000465:Algorithms; D000792:Angiography / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity