Paper
9 September 1994 Real-time system for 3D neurosurgical planning
John C. Goble, John W. Snell, Ken Hinckley, Neal F. Kassell M.D.
Author Affiliations +
Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185219
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States
Abstract
We have designed and implemented a computer-based system that permits rapid acquisition of digital medical images, multi- modality registration and segmentation, and 3D planning of minimally invasive neurosurgical procedures. The system, known as Netra, is optimized for real-time planning: imaging, pre- processing and planning are performed on the morning of surgery in clinically useful times. We have tested the system on procedures such as needle biopsies, depth electrode placements and craniectomies for arteriovenous malformations, aneurysms and tumors. We describe in this paper the core algorithms of our system, and discuss issues related to implementation, validation and user acceptance. We focus on techniques for physician interaction that encourage active participation by the surgeon as principal operator of the visualization and planning system.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John C. Goble, John W. Snell, Ken Hinckley, and Neal F. Kassell M.D. "Real-time system for 3D neurosurgical planning", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); https://doi.org/10.1117/12.185219
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Cited by 9 scholarly publications.
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KEYWORDS
Image segmentation

Brain

Surgery

3D image processing

Head

Computing systems

Magnetic resonance imaging

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