| Computer prediction of balloon angioplasty from artery imaging. | |
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MedLine Citation:
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PMID: 16404065 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The success of angioplasty depends on a balance between two conflicting objectives: maximization of artery lumen patency and minimization of mechanical damage. A finite element model for the patient-specific prediction of angioplasty is proposed as a potential tool to assist clinicians. This paper describes the general methodology and the algorithm that computes device/artery friction work during balloon insertion and deployment. The potential of the model is demonstrated with examples that include artery model reconstruction and prediction of friction on the arterial wall during balloon insertion and deployment. |
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Authors:
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Denis Laroche; Sebastien Delorme; Todd Anderson; Jean Buithieu; Robert DiRaddo |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Studies in health technology and informatics Volume: 119 ISSN: 0926-9630 ISO Abbreviation: Stud Health Technol Inform Publication Date: 2006 |
Date Detail:
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Created Date: 2006-01-11 Completed Date: 2006-04-17 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9214582 Medline TA: Stud Health Technol Inform Country: Netherlands |
Other Details:
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Languages: eng Pagination: 293-8 Citation Subset: T |
Affiliation:
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Industrial Materials Institute, Boucherville, QC, Canada. denis.laroche@cnrc-nrc.gc.ca |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Angioplasty, Transluminal, Percutaneous Coronary* Computer Simulation* Coronary Artery Disease / surgery* Finite Element Analysis Forecasting Friction Humans Safety |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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