Paper
1 March 2011 Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software
Michel A. Audette, Denis Rivière, Charles Law, Luis Ibanez, Stephen R. Aylward, Julien Finet, Xunlei Wu, Matthew G. Ewend
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michel A. Audette, Denis Rivière, Charles Law, Luis Ibanez, Stephen R. Aylward, Julien Finet, Xunlei Wu, and Matthew G. Ewend "Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software", Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79642J (1 March 2011); https://doi.org/10.1117/12.877883
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KEYWORDS
Brain

Tissues

Skull

Data modeling

Natural surfaces

Pathology

Binary data

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