Higher-order level-set method and its application in biomolecular surfaces construction

  • Authors:
  • Chandrajit L. Bajaj;Guo-Liang Xu;Qin Zhang

  • Affiliations:
  • CVC, Department of Computer Science, Institute for Computational Engineering and Sciences, University of Texas at Austin, TX;LSEC, Institute of Computational Mathematics, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing, China;LSEC, Institute of Computational Mathematics, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing, China and School of Sciences, Beijing Information Science and Techno ...

  • Venue:
  • Journal of Computer Science and Technology
  • Year:
  • 2008

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Abstract

We present a general framework for a higher-order spline level-set (HLS) method and apply this to biomolecule surfaces construction. Starting from a first order energy functional, we obtain a general level set formulation of geometric partial differential equation, and provide an efficient approach to solving this partial differential equation using a C2 spline basis. We also present a fast cubic spline interpolation algorithm based on convolution and the Z-transform, which exploits the local relationship of interpolatory cubic spline coefficients with respect to given function data values. One example of our HLS method is demonstrated, which is the construction of biomolecule surfaces (an implicit solvation interface) with their individual atomic coordinates and solvated radii as prerequisites.