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3D Slicer as a Tool for Interactive Brain Tumor Segmentation
Institution: |
Surgical Planning Lab, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA. |
Publisher: |
IEEE Engineering in Medicine and Biology Society |
Publication Date: |
Aug-2011 |
Journal: |
Conf Proc IEEE Eng Med Biol Soc |
Volume Number: |
2011 |
Pages: |
6982-4 |
Citation: |
Conf Proc IEEE Eng Med Biol Soc. 2011 Aug;2011:6982-4. |
PubMed ID: |
22255945 |
Appears in Collections: |
SPL, NA-MIC, NAC, SLICER |
Generated Citation: |
Kikinis R., Pieper S. 3D Slicer as a Tool for Interactive Brain Tumor Segmentation. Conf Proc IEEE Eng Med Biol Soc. 2011 Aug;2011:6982-4. PMID: 22255945. |
| Export citation: |
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.