Vessel segmentation based on bone-to-bone elimination in brain CT angiography

Ku Yaw Chang, Yu Hsun Wu, Wei Lu Lin, Shao Jer Chen, Lih Shyang Chen

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

1 Citation (Scopus)

Abstract

In this paper, we propose a vessel segmentation method in brain CT angiography. Its main idea is to remove bones by a bone-to-bone elimination procedure between two series of images, instead of a time-consuming registration algorithm. Some vessel pixels may be removed by mistake during this bone removal procedure. We invent the idea of conditional dilation to restore lost vessel pixels. Whenever a vessel region is identified, we change its outer boundary to background values so that the later region growing can find out the whole vessel structure. Since the registration computation is no longer required, the segmentation process takes less time and makes it feasible for an interactive 3D segmentation in clinical applications.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509020737
DOIs
Publication statusPublished - 2016 Jul 25
Event3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan
Duration: 2016 May 272016 May 30

Publication series

Name2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Other

Other3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
CountryTaiwan
CityNantou County
Period16-05-2716-05-30

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Media Technology
  • Computer Networks and Communications
  • Signal Processing

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