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Robust semi-automated path extraction for visualising stenosis of the coronary arteries

Mueller, Daniel & Maeder, Anthony (2008) Robust semi-automated path extraction for visualising stenosis of the coronary arteries. Computerized Medical Imaging and Graphics, 32(6), pp. 463-475.

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Abstract

Computed tomography angiography (CTA) is useful for diagnosing and planning treatment of heart disease. However, contrast agent in surrounding structures (such as the aorta and left ventricle) makes 3-D visualisation of the coronary arteries difficult. This paper presents a composite method employing segmentation and volume rendering to overcome this issue. A key contribution is a novel Fast Marching minimal path cost function for vessel centreline extraction. The resultant centreline is used to compute a measure of vessel lumen, which indicates the degree of stenosis (narrowing of a vessel). Two volume visualisation techniques are presented which utilise the segmented arteries and lumen measure. The system is evaluated and demonstrated using synthetic and clinically obtained datasets.

Impact and interest:

15 citations in Scopus
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10 citations in Web of Science®

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Full-text downloads:

293 since deposited on 26 May 2008
30 in the past twelve months

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ID Code: 13616
Item Type: Journal Article
Additional URLs:
Keywords: vessel segmentation, volume visualisation, minimal path, Fast Marching, stenosis, cardiology
DOI: 10.1016/j.compmedimag.2008.05.003
ISSN: 0895-6111
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Graphics (080103)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > CARDIOVASCULAR MEDICINE AND HAEMATOLOGY (110200) > Cardiology (incl. Cardiovascular Diseases) (110201)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2008 Elsevier Ltd.
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 26 May 2008
Last Modified: 01 Sep 2014 09:58

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