282
A. Wittek et al.
Fig. 11.7 3-D patient-specific meshless model for computing the deformations within the brain
due to craniotomy-induced brain shift for image-guided neurosurgery. The model was implemented
using the Meshless Total Lagrangian Explicit Dynamics (MTLED) framework. Detailed description and the results obtained using this model are in Miller et al. [28]. The integration points are
indicated as (+) and interpolating nodes as ( ) for the brain parenchyma, ( ) for the ventricles and
( ) for the tumour. Regular hexahedral background integration grid (similar to that shown for 2-D
model in Fig. 11.6) was used. (Adapted from Miller et al. [28])
Adaptive Integration Scheme
The above integration scheme has the following properties that make it very
attractive for application in computational biomechanics of the brain and other body
organs:
• The size of the integration cells is automatically adjusted (the number of
integration cells in the areas where the shape functions exhibit large variations
is automatically increased to maintain the integration accuracy).
A. Wittek et al.
Fig. 11.7 3-D patient-specific meshless model for computing the deformations within the brain
due to craniotomy-induced brain shift for image-guided neurosurgery. The model was implemented
using the Meshless Total Lagrangian Explicit Dynamics (MTLED) framework. Detailed description and the results obtained using this model are in Miller et al. [28]. The integration points are
indicated as (+) and interpolating nodes as ( ) for the brain parenchyma, ( ) for the ventricles and
( ) for the tumour. Regular hexahedral background integration grid (similar to that shown for 2-D
model in Fig. 11.6) was used. (Adapted from Miller et al. [28])
Adaptive Integration Scheme
The above integration scheme has the following properties that make it very
attractive for application in computational biomechanics of the brain and other body
organs:
• The size of the integration cells is automatically adjusted (the number of
integration cells in the areas where the shape functions exhibit large variations
is automatically increased to maintain the integration accuracy).