Grid Generation for Brain Visualization at the Cellular and Tissue Level

  • David A. Batte
  • Bruce H. McCormick

Abstract

Numerical grid generation is used to provide a framework for brain and neuron visualization. Smoothing spline surfaces are fit to contour data to generate 3D solid model reconstruction of brain tissue. Finite element methods are then used to subdivide the solid models into biologically-consistent finite elements. Numerical grid generation is employed to provide a curvilinear coordinate system within the finite elements. Synthetic and manually traced neurons are mapped into the gridded solid model using the curvilinear coordinate system. To this end grid generation tools, neuron mapping tools, and visualization tools have been implemented.

Keywords

Solid Model Grid Generation Reconstructed Tissue Curvilinear Coordinate System Human Cerebral Cortex 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • David A. Batte
    • 1
  • Bruce H. McCormick
    • 1
  1. 1.Scientific Visualization LaboratoryTexas A&M UniversityCollege StationUSA

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