Volumetric data exploration using interval volume

Issei Fujishiro, Yuji Maeda, Hiroshi Sato, Yuriko Takeshima

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)


A new type of geometric model called Interval volume for volumetric data exploration is presented. An interval volume represents a three-dimensional subvolume for which the associate scalar values lie within a user-specified interval, and provides one of the promising approaches to solid fitting, which is an extended concept of traditional surface fitting. A well known isosurfacing algorithm called Marching Cubes is extended to obtain a solid fitting algorithm, which extracts from a given volumetric data set a high resolution, polyhedral solid data structure of an interval volume. Branch-on-Need Octree is used as an auxiliary data structure to accelerate the extraction process. A variety of interval volume rendering methods and principal related operations, including measurements and focusing, are also presented. The effectiveness of measurement-coupled visualization capabilities of the presented approach is demonstrated by application to visualizing a four-dimensional simulated data from atomic collision research.

Original languageEnglish
Pages (from-to)144-155
Number of pages12
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number2
Publication statusPublished - 1996
Externally publishedYes


  • Atomic collision
  • Isosurface
  • Isosurfacing
  • Marching cubes
  • Surface fitting
  • Volume rendering
  • Volume visualization

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design


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