Tracking-based segmentation and volume rendering for assessing stenosis of coronary arteries in MS-CTA images

Daniel Mueller, Anthony Maeder, Peter O'Shea

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

2 Citations (Scopus)

Abstract

Multi-slice spiral computed tomography angiography (MSCTA) is emerging as a clinically robust modality for diagnosis and surgical planning for coronary heart disease. To enable these tasks the coronary arteries must be segmented and visualised. This paper proposes the use of an improved tracking-based algorithm for segmenting the coronary artery network. The segmentation results are coupled with direct volume rendering allowing for the 3-D visualisation of the degree of stenosis. We represent vessels using a generalised-cylinder model, which facilitates fast segmentation and the visualisation of vessel cross-sectional area. A number of synthetic and in vivo datasets are used to validate and demonstrate the approach.

Original languageEnglish
Title of host publicationProceedings of the 9th IASTED International Conference on Computer Graphics and Imaging, CGIM 2007
Pages108-113
Number of pages6
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event9th IASTED International Conference on Computer Graphics and Imaging, CGIM 2007 - Innsbruck, Austria
Duration: 13 Feb 200715 Feb 2007

Publication series

NameProceedings of the 9th IASTED International Conference on Computer Graphics and Imaging, CGIM 2007

Conference

Conference9th IASTED International Conference on Computer Graphics and Imaging, CGIM 2007
CountryAustria
CityInnsbruck
Period13/02/0715/02/07

Keywords

  • Imaging and image processing
  • Medical imaging
  • Vessel segmentation
  • Volume rendering

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    Mueller, D., Maeder, A., & O'Shea, P. (2007). Tracking-based segmentation and volume rendering for assessing stenosis of coronary arteries in MS-CTA images. In Proceedings of the 9th IASTED International Conference on Computer Graphics and Imaging, CGIM 2007 (pp. 108-113). (Proceedings of the 9th IASTED International Conference on Computer Graphics and Imaging, CGIM 2007).