Document Detail


Coronary artery center-line extraction using second order local features.
MedLine Citation:
PMID:  23227111     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Of interest is the accurate and robust delineation of vessel center-lines for complete arterial tree structure in coronary angiograms which is an imperative step towards 3D reconstruction of coronary tree and feature-based registration of multiple view angiograms. Most existing center-line tracking methods encounter limitations in coping with abrupt variations in local artery direction and sudden changes of lumen diameter that occur in the vicinity of arterial lesions. This paper presents an improved center-line tracing algorithm for automatic extraction of coronary arterial tree based on robust local features. The algorithm employs an improved scanning schema based on eigenvalues of Hessian matrix for reliable identification of true vessel points as well as an adaptive look-ahead distance schema for calculating the magnitude of scanning profile. In addition to a huge variety of clinical examples, a well-established vessel simulation tool was used to create several synthetic angiograms for objective comparison and performance evaluation. The experimental results on the accuracy and robustness of the proposed algorithm and its counterparts under difficult situations such as poor image quality and complicated vessel geometry are presented.
Authors:
Farsad Zamani Boroujeni; Rahmita Wirza O K Rahmat; Norwati Mustapha; Lilly Suriani Affendey; Oteh Maskon
Publication Detail:
Type:  Journal Article     Date:  2012-11-22
Journal Detail:
Title:  Computational and mathematical methods in medicine     Volume:  2012     ISSN:  1748-6718     ISO Abbreviation:  Comput Math Methods Med     Publication Date:  2012  
Date Detail:
Created Date:  2012-12-10     Completed Date:  2013-03-28     Revised Date:  2013-07-11    
Medline Journal Info:
Nlm Unique ID:  101277751     Medline TA:  Comput Math Methods Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  940981     Citation Subset:  IM    
Affiliation:
Faculty of Computer Engineering, Islamic Azad University, Khorasgan Campus, Esfahan, Iran. farsad.zamani@ieee.org
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Computer Simulation
Coronary Angiography / methods*
Coronary Vessels / pathology*
False Positive Reactions
Humans
Image Processing, Computer-Assisted / methods
Imaging, Three-Dimensional
Models, Biological
Models, Cardiovascular
Models, Statistical
Reproducibility of Results
Comments/Corrections

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