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Patient‐specific computational biomechanics of the brain without segmentation and meshing
Author(s) -
Zhang Johnny Y.,
Joldes Grand Roman,
Wittek Adam,
Miller Karol
Publication year - 2013
Publication title -
international journal for numerical methods in biomedical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.741
H-Index - 63
eISSN - 2040-7947
pISSN - 2040-7939
DOI - 10.1002/cnm.2507
Subject(s) - segmentation , computer science , finite element method , context (archaeology) , mesh generation , point cloud , point (geometry) , grid , image segmentation , fuzzy logic , artificial intelligence , computer vision , algorithm , engineering , mathematics , structural engineering , geometry , geology , paleontology
SUMMARY Motivated by patient‐specific computational modelling in the context of image‐guided brain surgery, we propose a new fuzzy mesh‐free modelling framework. The method works directly on an unstructured cloud of points that do not form elements so that mesh generation is not required. Mechanical properties are assigned directly to each integration point based on fuzzy tissue classification membership functions without the need for image segmentation. Geometric integration is performed over an underlying uniform background grid. The verification example shows that, while requiring no hard segmentation and meshing, the proposed model gives, for all practical purposes, equivalent results to a finite element model. Copyright © 2012 John Wiley & Sons, Ltd.