title: Geometrical model-based segmentation of the organs of sight on CT images.
abstract: Segmentation of organs of sight such as the eyeballs, lenses, and optic nerves is a time consuming task for clinicians. The small size of the organs and the similar density of the surrounding tissues make the segmentation difficult. We developed a new algorithm to segment these organs with minimal user interaction. The algorithm needs only three seed points to fit an initial geometrical model to start an effective segmentation. The clinical evaluation shows that the output of our method is useful in clinical practice.
authors.affiliation: Healthcare Division, GE Hungary ZRt., Szikra u. 2, H-6725 Szeged, Hungary. gyorgy.bekes@ge.com
authors.forename: György
authors.initials: G
authors.lastname: Bekes
authors.forename: Eörs
authors.initials: E
authors.lastname: Máté
authors.forename: László G
authors.initials: LG
authors.lastname: Nyúl
authors.forename: Attila
authors.initials: A
authors.lastname: Kuba
authors.forename: Márta
authors.initials: M
authors.lastname: Fidrich
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005123:Eye / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*