Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiography volume data

G. Gerig, Th Koller, G. Székely, Ch Brechbühler, O. Kübler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The present paper focuses on the conversion of multidimensional image structures to art object-centered, abstract description encoding shape features and structure relationships. We describe a prototype system that extracts three-dimensional (3-D) curvilinear structures from volume image data and transforms them into a symbofic description which represents topological and geometrical features of tree-fike, filamentous objects. The initial segmentation is performed by 3-D hysteresis thresholding. A skeletal structure is derived by 3-D binary thinning, approximating the center-fines while fully preserving the 3-D topology. The local width of the fine structures is characterized by a separate 3-D Eucfidean distance transform. Compilation, or raster-to-vector transformation, converts the maximally thinned voxel fists into a vector description. The final graph data-structure encodes the spatial course of fine sections, the estimate of the local diameter, and the topology at important key locations fike branchings and end-points. The analysis system is appfied to the characterization of the cerebral vascular system segmented from magnetic resonance angiography (MRA).

Original languageEnglish (US)
Title of host publicationInformation Processing in Medical Imaging - 13th International Conference, IPMI 1993, Proceedings
EditorsHarrison H. Barrett, Arthur F. Gmitro
PublisherSpringer Verlag
Pages94-111
Number of pages18
ISBN (Print)9783540568001
DOIs
StatePublished - 1993
Event13th International Conference on Information Processing in Medical Imaging, IPMI 1993 - Flagstaff, United States
Duration: Jun 14 1993Jun 18 1993

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume687 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Information Processing in Medical Imaging, IPMI 1993
Country/TerritoryUnited States
CityFlagstaff
Period6/14/936/18/93

Keywords

  • 3-D Binary thinning
  • 3-D Raster-tovector transform
  • Cerebrospinal vasculature
  • Magnetic resonance angiography
  • Multidimensional image analysis
  • Symbofic representation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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