title: Automated renderer for visible human and volumetric scan segmentations.
abstract: Creating a library of binary segmentation mask sequences for the abdominal anatomy hierarchy of SNOMED and developing a quick, flexible automatic method for generating iso-surface models from these named structure masks has been a primary goal in our research. This paper describes our development of a clear path for computing visualizations of arbitrary groups of organs from these masks (typically generated from Visible Human data). One use of these methods is teaching the anatomy of various organ systems in the human body using virtual reality environments.
authors.affiliation: Department of Surgery, The University of Chicago, Chicago, IL, USA. jcs@uchicago.edu
authors.forename: Jonathan C
authors.initials: JC
authors.lastname: Silverstein
authors.forename: Victor
authors.initials: V
authors.lastname: Tsirline
authors.forename: Fred
authors.initials: F
authors.lastname: Dech
authors.forename: Philip
authors.initials: P
authors.lastname: Kouchoukos
authors.forename: Peter
authors.initials: P
authors.lastname: Jurek
mesh_terms: D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000295:instrumentation*; D018594:Human Body; D021621:Imaging, Three-Dimensional; D007993:Libraries, Medical; D008953:Models, Anatomic; D039061:Systematized Nomenclature of Medicine; D014481:United States