A fully automated framework for segmentation and stenosis quantification of coronary arteries in 3D CTA imaging

Yin Wang, Panos Liatsis

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

17 Scopus citations

Abstract

In this paper, we present a novel framework to segment and quantify stenosed coronary arteries in 3D contrast enhanced computed tomography angiography (CTA). According to our knowledge, no commercially available software package permits fully automated detection and assessment of atherosclerotic stenosis. Therefore, in clinical practice, the radiologist has to make a detailed evaluation, segment by segment, which is obviously a tedious and time consuming task. In the proposed framework, the main branches of the coronary arteries are firstly extracted from the volume datasets by using a localized region-based level sets framework. Next, calcified voxels are removed by a post processing step. The centreline of the coronaries is extracted by mesh contraction algorithm. Finally, we compute the circularity and the convex hull deficiency of the cross sections at specific locations along the coronary arteries, which are then used to automatically detect and identify the presence of calcified stenosis.

Original languageBritish English
Title of host publicationProceedings - International Conference on Developments in eSystems Engineering, DeSE 2009
Pages136-140
Number of pages5
DOIs
StatePublished - 2009
EventInternational Conference on Developments in eSystems Engineering, DeSE 2009 - Abu Dhabi, United Arab Emirates
Duration: 14 Dec 200916 Dec 2009

Publication series

NameProceedings - International Conference on Developments in eSystems Engineering, DeSE 2009

Conference

ConferenceInternational Conference on Developments in eSystems Engineering, DeSE 2009
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period14/12/0916/12/09

Keywords

  • Coronary artery
  • CTA
  • Level sets
  • Segmentation

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