Image segmentation methods for detecting blood vessels in angiography

Albert C.S. Chung*

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

Computer-assisted detection and segmentation of blood vessels in angiography are crucial for endovascular treatments and embolization. In this article, I give an overview of the image segmentation methods using the features developed recently at our laboratory. Our current research directions are also highlighted.

Original languageEnglish
Title of host publication9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
DOIs
Publication statusPublished - 2006
Event9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 - Singapore, Singapore
Duration: 5 Dec 20068 Dec 2006

Publication series

Name9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06

Conference

Conference9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
Country/TerritorySingapore
CitySingapore
Period5/12/068/12/06

Keywords

  • Active contour model
  • Angiography
  • Feature detection
  • Segmentation of blood vessels
  • Statistical segmentation

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