System for the analysis and visualization of large 3D anatomical trees

Kun Chang Yu, Erik L. Ritman, William E. Higgins

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Modern micro-CT and multi-detector helical CT scanners can produce high-resolution 3D digital images of various anatomical trees. The large size and complexity of these trees make it essentially impossible to define them interactively. Automatic approaches have been proposed for a few specific problems, but none of these approaches guarantee extracting geometrically accurate multi-generational tree structures. This paper proposes an interactive system for defining and visualizing large anatomical trees and for subsequent quantitative data mining. The system consists of a large number of tools for automatic image analysis, semi-automatic and interactive tree editing, and an assortment of visualization tools. Results are presented for a variety of 3D high-resolution images.

Original languageEnglish (US)
Pages (from-to)1802-1820
Number of pages19
JournalComputers in Biology and Medicine
Volume37
Issue number12
DOIs
StatePublished - Dec 2007

Keywords

  • 3D visualization
  • Anatomical trees
  • Arterial trees
  • Data mining
  • Micro-CT imaging
  • Multidetector CT
  • Tree analysis
  • Virtual endoscopy

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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