Quantitative analysis of three-dimensional tubular tree structures

Kalman Palagyi, Juerg Tschirren, Milan Sonka

Research output: Contribution to journalConference article

12 Citations (Scopus)

Abstract

Quantitative assessment of tree structures is very important for evaluation of airway or vascular tree morphology and its associated function. Our skeletonization and branch-point identification method provides a basis for tree quantification or tree matching, tree-branch diameter measurement in any orientation, and labeling individual branch segments. All main components of our method were specifically developed to deal with imaging artifacts typically present in volumetric medical image data. The proposed method has been tested in a computer phantom subjected to changes of its orientation as well as in a repeatedly CT-scanned rigid plastic phantom. In all cases, our method produced reliable and well positioned centerlines and branch-points.

Original languageEnglish
Pages (from-to)277-287
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5032 I
DOIs
Publication statusPublished - Sep 15 2003
EventMedical Imaging 2003: Image Processing - San Diego, CA, United States
Duration: Feb 17 2003Feb 20 2003

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Keywords

  • Airway trees
  • Centerline extraction
  • CT
  • Skeletonization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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