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Proceedings Paper

Intraoperative virtual brain counseling
Author(s): Zhaowei Jiang; William I. Grosky; Lucia J. Zamorano; Otto Muzik; Fernando Diaz
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Paper Abstract

Our objective is to offer online real-tim e intelligent guidance to the neurosurgeon. Different from traditional image-guidance technologies that offer intra-operative visualization of medical images or atlas images, virtual brain counseling goes one step further. It can distinguish related brain structures and provide information about them intra-operatively. Virtual brain counseling is the foundation for surgical planing optimization and on-line surgical reference. It can provide a warning system that alerts the neurosurgeon if the chosen trajectory will pass through eloquent brain areas. In order to fulfill this objective, tracking techniques are involved for intra- operativity. Most importantly, a 3D virtual brian environment, different from traditional 3D digitized atlases, is an object-oriented model of the brain that stores information about different brain structures together with their elated information. An object-oriented hierarchical hyper-voxel space (HHVS) is introduced to integrate anatomical and functional structures. Spatial queries based on position of interest, line segment of interest, and volume of interest are introduced in this paper. The virtual brain environment is integrated with existing surgical pre-planning and intra-operative tracking systems to provide information for planning optimization and on-line surgical guidance. The neurosurgeon is alerted automatically if the planned treatment affects any critical structures. Architectures such as HHVS and algorithms, such as spatial querying, normalizing, and warping are presented in the paper. A prototype has shown that the virtual brain is intuitive in its hierarchical 3D appearance. It also showed that HHVS, as the key structure for virtual brain counseling, efficiently integrates multi-scale brain structures based on their spatial relationships.This is a promising development for optimization of treatment plans and online surgical intelligent guidance.

Paper Details

Date Published: 16 June 1997
PDF: 14 pages
Proc. SPIE 2976, Biomedical Sensing, Imaging, and Tracking Technologies II, (16 June 1997); doi: 10.1117/12.275532
Show Author Affiliations
Zhaowei Jiang, Wayne State Univ. (United States)
William I. Grosky, Wayne State Univ. (United States)
Lucia J. Zamorano, Wayne State Univ. (United States)
Otto Muzik, Wayne State Univ. (United States)
Fernando Diaz, Wayne State Univ. (United States)


Published in SPIE Proceedings Vol. 2976:
Biomedical Sensing, Imaging, and Tracking Technologies II
Tuan Vo-Dinh; Robert A. Lieberman; Gerald G. Vurek; Abraham Katzir, Editor(s)

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