Visualizing white matter structure of the brain using Dijkstra's algorithm

Maarten H. Everts, Henk Bekker, Jos B.T.M. Roerdink

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

An undirected weighted graph may be constructed from diffusion weighted magnetic resonance imaging data. Every node represents a voxel and the edge weights between nodes represent the white matter connectivity between neighboring voxels. In this paper we propose and test a new method for calculating trajectories of fiber bundles in the brain by applying Dijkstra's shortest path algorithm to the weighted graph. Subsequently, the resulting tree structure is pruned, showing the main white matter structures of the brain. The time consumption of this method is in the order of seconds.
Original languageEnglish
Title of host publicationISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages569-574
Number of pages6
ISBN (Print)978-953-184-134-4 (CD), 978-953-184-135-1
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009 - Salzburg, Austria
Duration: 16 Sept 200918 Sept 2009
Conference number: 6

Publication series

NameProceedings of the International Symposium on Image and Signal Processing and Analysis (ISPA)
PublisherIEEE
Number6
Volume2009
ISSN (Print)1845-5921

Conference

Conference6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009
Abbreviated titleISPA 2009
Country/TerritoryAustria
CitySalzburg
Period16/09/0918/09/09

Keywords

  • Tensile stress
  • Data visualization
  • Joining processes
  • Nerve fibers
  • Magnetic resonance imaging
  • Diffusion tensor imaging
  • Iterative algorithms
  • Mathematics
  • Optical fiber testing
  • Tree data structures
  • n/a OA procedure

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