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Structure-preserving multiscale vessel enhancing diffusion filter

  • Yiping Chen*
  • , Liansheng Wang
  • , Lin Shi
  • , Defeng Wang
  • , Pheng Ann Heng
  • , Tien Tsin Wong
  • , Xiang Li
  • *Corresponding author for this work
  • National University of Defense Technology
  • Chinese University of Hong Kong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Enhancement of vessels in medical images is still an unsolved problem. Multiscale approaches were proposed to improve the vessel enhancement effect based on the structure size and image resolution. Vessel enhancing diffusion (VED) filter is one of the multiscale approaches, which was based on the scale space theory. VED performs well on enhancing vessel structures but cannot preserve complex structures such as the vessel junctions. In this paper, a structure-preserving diffusion tensor is defined in the diffusion equation, which brings a structure-preserving vessel enhancing diffusion filter. Through the multiscale framework, the proposed method enhances the vessel structures especially the complex structure such as junctions. Experimental evaluation performed on various vessel data sets demonstrated the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages3565-3568
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong SAR
Duration: 26 Sep 2010 → 29 Sep 2010

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country/TerritoryHong Kong SAR
CityHong Kong
Period26/09/10 → 29/09/10

Keywords

  • Diffusion equation
  • Multiscale
  • Vessel enhancement
  • Vessel junction
  • Vessel structure

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