Automatic Cross-Sectioning based on 3D Field Topology Analysis

Yuki Mori, Shigeo Takahashi, Takeo Igarashi, Yuriko Takeshima, Issei Fujishiro

Research output: Contribution to journalArticlepeer-review


Cross-sectioning is one of the most commonly used methods for visualizing the complicated inner structures of three-dimensional volume datasets. However, the method usually requires a tedious trial-and-error process by users and thus often fails in finding characteristic cross-sections that capture the underlying inner structures. This paper presents a method for automatically generating characteristic cross-sections from a given volume dataset. The application of a graph structure called volume skeleton tree (VST) allows us to automatically extract such characteristic cross-sections by delineating the topological structure of the given volume. The feasibility of the proposed method is demonstrated using simulated and measured volume datasets.

Original languageEnglish
Pages (from-to)252-260
Number of pages9
JournalJournal of the Institute of Image Electronics Engineers of Japan
Issue number4
Publication statusPublished - 2006
Externally publishedYes


  • topology analysis
  • volume data mining
  • volume visualization

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering


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