| Automated quantification of carotid artery stenosis on contrast-enhanced MRA data using a deformable vascular tube model. | |
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MedLine Citation:
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PMID: 22160666 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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The purpose of this study was to develop and validate a method for automated segmentation of the carotid artery lumen from volumetric MR Angiographic (MRA) images using a deformable tubular 3D Non-Uniform Rational B-Splines (NURBS) model. A flexible 3D tubular NURBS model was designed to delineate the carotid arterial lumen. User interaction was allowed to guide the model by placement of forbidden areas. Contrast-enhanced MRA (CE-MRA) from 21 patients with carotid atherosclerotic disease were included in this study. The validation was performed against expert drawn contours on multi-planar reformatted image slices perpendicular to the artery. Excellent linear correlations were found on cross-sectional area measurement (r = 0.98, P < 0.05) and on luminal diameter (r = 0.98, P < 0.05). Strong match in terms of the Dice similarity indices were achieved: 0.95 ± 0.02 (common carotid artery), 0.90 ± 0.07 (internal carotid artery), 0.87 ± 0.07 (external carotid artery), 0.88 ± 0.09 (carotid bifurcation) and 0.75 ± 0.20 (stenosed segments). Slight overestimation of stenosis grading by the automated method was observed. The mean differences was 7.20% (SD = 21.00%) and 5.2% (SD = 21.96%) when validated against two observers. Reproducibility in stenosis grade calculation by the automated method was high; the mean difference between two repeated analyses was 1.9 ± 7.3%. In conclusion, the automated method shows high potential for clinical application in the analysis of CE-MRA of carotid arteries. |
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Authors:
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Avan Suinesiaputra; Patrick J H de Koning; Elena Zudilova-Seinstra; Johan H C Reiber; Rob J van der Geest |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-9 |
Journal Detail:
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Title: The international journal of cardiovascular imaging Volume: - ISSN: 1875-8312 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100969716 Medline TA: Int J Cardiovasc Imaging Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Division of Image Processing, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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