| A semi-automatic method for segmentation of the carotid bifurcation and bifurcation angle quantification on black blood MRA. | |
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MedLine Citation:
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PMID: 20879388 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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Quantitative information about the geometry of the carotid artery bifurcation may help in predicting the development of atherosclerosis. A geodesic active contours based segmentation method combining both gradient and intensity information was developed for semi-automatic, accurate and robust quantification of the carotid bifurcation angle in Black Blood MRA data. The segmentation method was evaluated by comparing its accuracy to inter and intra observer variability on a large dataset that has been acquired as part of a longitudinal population study which investigates the natural progression of carotid atherosclerosis. Furthermore, the method is shown to be robust to initialization differences. The bifurcation angle obtained from the segmented lumen corresponds well with the angle derived from the manual lumen segmentation, which demonstrates that the method has large potential to replace manual segmentations for extracting the carotid bifurcation angle from Black Blood MRA data. |
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Authors:
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Hui Tang; Robbert S van Onkelen; Theo van Walsum; Reinhard Hameeteman; Michiel Schaap; Fufa L Tori; Quirijn J A van den Bouwhuijsen; Jacqueline C M Witteman; Aad van der Lugt; Lucas J van Vliet; Wiro J Niessen |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Volume: 13 ISSN: - ISO Abbreviation: Med Image Comput Comput Assist Interv Publication Date: 2010 |
Date Detail:
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Created Date: 2010-09-30 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101249582 Medline TA: Med Image Comput Comput Assist Interv Country: Germany |
Other Details:
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Languages: eng Pagination: 97-104 Citation Subset: IM |
Affiliation:
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Department of Radiology, Erasmus MC-University Medical Center Rotterdam, The Netherlands. h.tang@tudelft.nl |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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