Document Detail


Robust and objective decomposition and mapping of bifurcating vessels.
MedLine Citation:
PMID:  15191145     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Computational modeling of human arteries has been broadly employed to investigate the relationships between geometry, hemodynamics and vascular disease. Recent developments in modeling techniques have made it possible to perform such analyses on realistic geometries acquired noninvasively and, thus, have opened up the possibility to extend the investigation to populations of subjects. However, for this to be feasible, novel methods for the comparison of the data obtained from large numbers of realistic models in the presence of anatomic variability must be developed. In this paper, we present an automatic technique for the objective comparison of distributions of geometric and hemodynamic quantities over the surface of bifurcating vessels. The method is based on centerlines and consists of robustly decomposing the surface into its constituent branches and mapping each branch onto a template parametric plane. The application of the technique to realistic data demonstrates how similar results are obtained over similar geometries, allowing for proper model-to-model comparison. Thanks to the computational and differential geometry criteria adopted, the method does not depend on user-defined parameters or user interaction, it is flexible with respect to the bifurcation geometry and it is readily extendible to more complex configurations of interconnecting vessels.
Authors:
Luca Antiga; David A Steinman
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Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't; Validation Studies    
Journal Detail:
Title:  IEEE transactions on medical imaging     Volume:  23     ISSN:  0278-0062     ISO Abbreviation:  IEEE Trans Med Imaging     Publication Date:  2004 Jun 
Date Detail:
Created Date:  2004-06-11     Completed Date:  2004-09-01     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8310780     Medline TA:  IEEE Trans Med Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  704-13     Citation Subset:  IM    
Affiliation:
Imaging Research Labs, Robarts Research Institute and Bioengineering Department, Mario Negri Institute for Pharmacological Research, London, ON N6A 5K8, Canada.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Arteries / anatomy & histology*
Carotid Stenosis / pathology
Humans
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Models, Anatomic*
Models, Cardiovascular*
Pattern Recognition, Automated
Reproducibility of Results
Sensitivity and Specificity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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