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A Topologically Faithful, Tissue-Guided, Spatially Varying Meshing Strategy for Computing Patient-Specific Head Models for Endoscopic Pituitary Surgery Simulation

  • M. A. Audette
  • H. Delingette
  • A. Fuchs
  • O. Astley
  • K. Chinzei
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3765)

Abstract

This paper presents a method for tessellating tissue boundaries and their interiors, given as input a tissue map consisting of relevant classes of the head, in order to produce anatomical models for finite element-based simulation of endoscopic pituitary surgery. Our surface meshing method is based on the simplex model, which is initialized by duality from the topologically accurate results of the Marching Cubes algorithm, and which features explicit control over mesh scale, while using tissue information to adhere to relevant boundaries. Our mesh scale strategy is spatially varying, based on the distance to a central point or linearized surgical path. The tetrahedralization stage also features a spatially varying mesh scale, consistent with that of the surface mesh.

Keywords

Surface Mesh Anatomical Model Mesh Scale Marching Cube Algorithm Marching Cube 
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-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • M. A. Audette
    • 1
  • H. Delingette
    • 1
  • A. Fuchs
    • 1
  • O. Astley
    • 1
  • K. Chinzei
    • 1
  1. 1.AIST, Surgical Assist GroupTsukubaJapan

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