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Proceedings Paper

Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software
Author(s): Michel A. Audette; Denis Rivière; Charles Law; Luis Ibanez; Stephen R. Aylward; Julien Finet; Xunlei Wu; Matthew G. Ewend
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Paper Abstract

We present on-going work on multi-resolution sulcal-separable meshing for approach-specific neurosurgery simulation, in conjunction multi-grid and Total Lagrangian Explicit Dynamics finite elements. Conflicting requirements of interactive nonlinear finite elements and small structures lead to a multi-grid framework. Implications for meshing are explicit control over resolution, and prior knowledge of the intended neurosurgical approach and intended path. This information is used to define a subvolume of clinical interest, within some distance of the path and the target pathology. Restricted to this subvolume are a tetrahedralization of finer resolution, the representation of critical tissues, and sulcal separability constraint for all mesh levels.

Paper Details

Date Published: 1 March 2011
PDF: 10 pages
Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79642J (1 March 2011); doi: 10.1117/12.877883
Show Author Affiliations
Michel A. Audette, Kitware, Inc. (United States)
Denis Rivière, NeuroSpin (France)
Charles Law, Kitware, Inc. (United States)
Luis Ibanez, Kitware, Inc. (United States)
Stephen R. Aylward, Kitware, Inc. (United States)
Julien Finet, Kitware, Inc. (United States)
Xunlei Wu, Duke Univ. (United States)
Matthew G. Ewend, The Univ. of North Carolina at Chapel Hill (United States)

Published in SPIE Proceedings Vol. 7964:
Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; David R. Holmes, Editor(s)

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