title: Combining MIP images and fuzzy set principles for vessels segmentation: application to TOF MRA and CE-MRA.
abstract: In this paper, we introduce an approach for selective segmentation of vascular structure which has been applied for intracranial vessels. Based on MIP and fuzzy set principles, this approach brings good results while segmentation is achieved rapidly. The added value of this approach is a minimal user interaction and the taking into account of the volume partial effect. This approach has been evaluated following different experiment: phantom tests, clinical data, and methods comparison.
authors.affiliation: Inserm, U703, ThiAIS, Institute of Medical Technology, University Hopsital, Lille, France.
authors.forename: M
authors.initials: M
authors.lastname: Vermandel
authors.forename: N
authors.initials: N
authors.lastname: Betrouni
authors.forename: R
authors.initials: R
authors.lastname: Viard
authors.forename: A S
authors.initials: AS
authors.lastname: Dewalle
authors.forename: S
authors.initials: S
authors.lastname: Blond
authors.forename: J
authors.initials: J
authors.lastname: Rousseau
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001808:Blood Vessels / Q000033:anatomy & histology*; D017143:Fuzzy Logic; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D018810:Magnetic Resonance Angiography / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique