Tissue Reconstruction Based on Deformation of Dual Simplex Meshes

  • David Svoboda
  • Pavel Matula
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2886)

Abstract

A new semiautomatic method for tissue reconstruction based on deformation of a dual simplex mesh was developed. The method is suitable for specifically-shaped objects. The method consists of three steps: the first step includes searching for object markers, i. e. the approximate centre of each object is localized. The searching procedure is based on careful analysis of object boundaries and on the assumption that the analyzed objects are sphere-like shaped. The first contribution of the method is the ability to find the markers without choosing the particular objects by hand.

In the next step the surface of each object is reconstructed. The procedure is based on the method for spherical object reconstruction presented in [3]. The method was partially changed and was adapted to be more suitable for our purposes. The problem of getting stuck in local minima was solved. In addition, the deformation process was sped up.

The final step concerns quality evaluation: both of the first two steps are nearly automatic, therefore the quality of their results should be measured.

Keywords

Deformable models dual simplex mesh quality evaluation reconstruction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • David Svoboda
    • 1
  • Pavel Matula
    • 1
  1. 1.Laboratory of Optical Microscopy, Faculty of InformaticsMasaryk UniversityBrnoCzech Republic

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