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Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software

Identifieur interne : 001838 ( Pmc/Corpus ); précédent : 001837; suivant : 001839

Approach-specific multi-grid anatomical modeling for neurosurgery simulation with public-domain and open-source software

Auteurs : Michel A. Audette ; Denis Rivière ; Charles Law ; Luis Ibanez ; Stephen R. Aylward ; Julien Finet ; Xunlei Wu ; Matthew G. Ewend

Source :

RBID : PMC:3112002

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.


Url:
PubMed: 21666884
PubMed Central: 3112002

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