title: 3D Slicer as a tool for interactive brain tumor segmentation.
abstract: User interaction is required for reliable segmentation of brain tumors in clinical practice and in clinical research. By incorporating current research tools, 3D Slicer provides a set of interactive, easy to use tools that can be efficiently used for this purpose. One of the modules of 3D Slicer is an interactive editor tool, which contains a variety of interactive segmentation effects. Use of these effects for fast and reproducible segmentation of a single glioblastoma from magnetic resonance imaging data is demonstrated. The innovation in this work lies not in the algorithm, but in the accessibility of the algorithm because of its integration into a software platform that is practical for research in a clinical setting.
authors.affiliation: Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA. kikinis @ bwh.harvard.edu
authors.forename: Ron
authors.initials: R
authors.lastname: Kikinis
authors.forename: Steve
authors.initials: S
authors.lastname: Pieper
mesh_terms: D000465:Algorithms; D001331:Automation; D001921:Brain / Q000473:pathology; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D003196:Computer Graphics; D003201:Computers; D005909:Glioblastoma / Q000175:diagnosis* / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D012984:Software; D014584:User-Computer Interface