| Noninvasive imaging of electrophysiological substrates in post myocardial infarction. | |
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MedLine Citation:
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PMID: 20426177 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The presence of injured tissues after myocardial infarction (MI) creates substrates responsible for fatal arrhythmia; understanding of its arrhythmogenic mechanism requires investigation of the correlation of local abnormality between phenomenal electrical functions and inherent electrophysiological properties during normal sinus rhythm. This paper presents a physiological-model-constrained framework for imaging post-MI electrophysiological substrates from noninvasive body surface potential measurements. Using a priori knowledge of general cardiac electrical activity as constraints, it simultaneously reconstruct transmembrane potential dynamics and tissue excitability inside the 3D myocardium, with the central goal to localize and investigate the abnormality in these two different electrophysiological quantities. It is applied to four post-MI patients with quantitative validations by gold standards and notable improvements over existent results. |
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Authors:
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Linwei Wang; Heye Zhang; Ken C L Wong; Huafeng Liu; Pengcheng Shi |
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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: 12 ISSN: - ISO Abbreviation: Med Image Comput Comput Assist Interv Publication Date: 2009 |
Date Detail:
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Created Date: 2010-04-29 Completed Date: 2010-06-07 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: 732-40 Citation Subset: IM |
Affiliation:
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Computational Biomedicine Laboratory, Rochester Institute of Technology, Rochester, New York, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Body Surface Potential Mapping / methods* Humans Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Myocardial Infarction / diagnosis* Reproducibility of Results Sensitivity and Specificity |
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