| Noninvasive functional imaging of volumetric cardiac electrical activity: a human study on myocardial infarction. | |
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MedLine Citation:
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PMID: 18979848 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Identification of infarct substrates provides necessary guidance to the prevention and treatment of cardiac arrhythmias. Compared to diagnostic criteria of body surface potentials (BSP) or electrophysiological information on heart surfaces, the underlying volumetric cardiac electrical activity is of more direct clinical relevance in exhibiting patient-specific arrhythmic dynamics and arrhythmogenic substrates. We have developed a paradigm for noninvasive imaging of volumetric myocardial transmembrane potential from BSPs. In this paper, we present a human study for a patient with acute myocardial infarction. Using patient MRI and BSP data, the framework is able to reconstruct details of the complete arrhythmic electrical activity on the 3D myocardium of the patient. Exploring a subset of the results, the extent, centroid and affected segments of the infarct is correctly evaluated, with comparable performance to existent best results. This human study demonstrates the potential of the presented paradigm as a noninvasive functional imaging technique for patient-specific volumetric cardiac electrical activity in practice. |
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Authors:
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Linwei Wang; Ken C L Wong; Heye Zhang; 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: 11 ISSN: - ISO Abbreviation: Med Image Comput Comput Assist Interv Publication Date: 2008 |
Date Detail:
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Created Date: 2008-11-04 Completed Date: 2008-12-09 Revised Date: 2009-12-11 |
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: 1042-50 Citation Subset: IM |
Affiliation:
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Golisano College of Computing and Information Science Rochester Institute of Technology, Rochester, NY, USA. maomaowlw@mail.rit.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Artificial Intelligence Body Surface Potential Mapping / methods* Computer Simulation Heart Conduction System / pathology*, physiopathology* Humans Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Imaging, Three-Dimensional / methods* Models, Cardiovascular Myocardial Infarction / diagnosis* Pattern Recognition, Automated / methods* Reproducibility of Results Sensitivity and Specificity |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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