title: Fast and robust semi-automatic liver segmentation with haptic interaction.
abstract: We present a method for semi-automatic segmentation of the liver from CT scans. True 3D interaction with haptic feedback is used to facilitate initialization, i.e., seeding of a fast marching algorithm. Four users initialized 52 datasets and the mean interaction time was 40 seconds. The segmentation accuracy was verified by a radiologist. Volume measurements and segmentation precision show that the method has a high reproducibility.
authors.affiliation: Centre for Image Analysis, Uppsala University, Sweden. erik@cb.uu.se
authors.forename: Erik
authors.initials: E
authors.lastname: Vidholm
authors.forename: Sven
authors.initials: S
authors.lastname: Nilsson
authors.forename: Ingela
authors.initials: I
authors.lastname: Nyström
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D006498:Hepatectomy / Q000379:methods; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods; D008099:Liver / Q000000981:diagnostic imaging* / Q000601:surgery*; 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; D025321:Surgery, Computer-Assisted / Q000379:methods*; D014110:Touch; D014584:User-Computer Interface