title: Clinical evaluation of a highly accurate algorithm for CT bone contour segmentation.
abstract: Planning, visualisation and intraoperative navigation in a robot assisted environment for craniofacial surgery require highly accurate methods for the segmentation of bone structures in CT data. Clinical systems are still based on time consuming interactive methods like the seed-point segmentation. Faster methods with no need for interactivity lacks in precision. In the following we will present an automatic and highly accurate algorithm for the segmentation of bone contours in CT data. It is based on an algorithm for the automatic calculation of a grey-value tissue relation model for CT and MRI data.
authors.affiliation: Clinic of Cranio-Maxillo-Facial Surgery, University of Heidelberg.
authors.forename: A
authors.initials: A
authors.lastname: Pernozzoli
authors.forename: C
authors.initials: C
authors.lastname: Burghart
authors.forename: J
authors.initials: J
authors.lastname: Brief
authors.forename: S
authors.initials: S
authors.lastname: Hassfeld
authors.forename: J
authors.initials: J
authors.lastname: Raczkowsky
authors.forename: J
authors.initials: J
authors.lastname: Mühling
authors.forename: H
authors.initials: H
authors.lastname: Wörn
mesh_terms: D000465:Algorithms; D002508:Cephalometry; D003196:Computer Graphics; D003198:Computer Simulation; D005147:Facial Bones / Q000000981:diagnostic imaging* / Q000601:surgery; D006801:Humans; D007091:Image Processing, Computer-Assisted; D019647:Oral Surgical Procedures; D014057:Tomography, X-Ray Computed; D014584:User-Computer Interface