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The tumours were digitally segmented and then 3D finite element meshes generated and surface rendered to produce 3D surface representations.
The anatomy of interest was digitally segmented, 3D finite element meshes generated and surface rendered to produce 3D surface representations.
Another heel-pad model with anatomically realistic surface representations of the calcaneus and soft tissue was developed to estimate peak pressure prediction errors when average rather than individualized material properties were used.
Implicit surface representations are cumbersome in these contexts.
It provides new algorithms for surface representations and surfaces joining.
Structural and surface representations were done in Pymol (http://pymol.soureforge.org) and Chimera106.
This chapter describes parametric curve and surface representations.
Finally, the model was optimized using response surface representations.
For surface representations, threshold values were selected using the molecular volume as a guide.
3D rendered surface representations were visualized in UCSF Chimera [29].
Electrostatic surface representations were generated using GRASP [56] and lipophilic surface renditions created using MOLCAD [57] under SYBYL v6.9.
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