title: Assessment and stenting of tracheal stenosis using deformable shape models.
abstract: This work presents a decision support system for the assessment of tracheal stenosis. In the proposed method, a statistical shape model of healthy tracheas is registered to a 3D CT image of a patient with tracheal stenosis. The registration yields an estimation of the shape of the patient's trachea as if stenosis was not present. From this point, the extent and the severity of the stenosis is assessed and stent parameters are obtained automatically. The method was extensively evaluated on simulation as well on real data and the results showed that it is accurate and fast enough to be used in the clinical setting.
authors.affiliation: IBBT-VisionLab, Department of Physics of the University of Antwerp, Belgium. romulo.pinho@ua.ac.be
authors.forename: Rômulo
authors.initials: R
authors.lastname: Pinho
authors.forename: Kurt G
authors.initials: KG
authors.lastname: Tournoy
authors.forename: Jan
authors.initials: J
authors.lastname: Sijbers
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods; D011379:Prognosis; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D015607:Stents; D013382:Subtraction Technique; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014135:Tracheal Stenosis / Q000000981:diagnostic imaging* / Q000601:surgery*; D016896:Treatment Outcome