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Imaging the electromechanical activity of the heart in vivo
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| Zeitschriftentitel: | Proceedings of the National Academy of Sciences |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Proceedings of the National Academy of Sciences, 108, 2011, 21, S. 8565-8570 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Proceedings of the National Academy of Sciences
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| Schlagwörter: |
| author_facet |
Provost, Jean Lee, Wei-Ning Fujikura, Kana Konofagou, Elisa E. Provost, Jean Lee, Wei-Ning Fujikura, Kana Konofagou, Elisa E. |
|---|---|
| author |
Provost, Jean Lee, Wei-Ning Fujikura, Kana Konofagou, Elisa E. |
| spellingShingle |
Provost, Jean Lee, Wei-Ning Fujikura, Kana Konofagou, Elisa E. Proceedings of the National Academy of Sciences Imaging the electromechanical activity of the heart in vivo Multidisciplinary |
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provost, jean |
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Provost, Jean Lee, Wei-Ning Fujikura, Kana Konofagou, Elisa E. 0027-8424 1091-6490 Proceedings of the National Academy of Sciences Multidisciplinary http://dx.doi.org/10.1073/pnas.1011688108 <jats:p>Cardiac conduction abnormalities remain a major cause of death and disability worldwide. However, as of today, there is no standard clinical imaging modality that can noninvasively provide maps of the electrical activation. In this paper, electromechanical wave imaging (EWI), a novel ultrasound-based imaging method, is shown to be capable of mapping the electromechanics of all four cardiac chambers at high temporal and spatial resolutions and a precision previously unobtainable in a full cardiac view in both animals and humans. The transient deformations resulting from the electrical activation of the myocardium were mapped in 2D and combined in 3D biplane ventricular views. EWI maps were acquired during five distinct conduction configurations and were found to be closely correlated to the electrical activation sequences. EWI in humans was shown to be feasible and capable of depicting the normal electromechanical activation sequence of both atria and ventricles. This validation of EWI as a direct, noninvasive, and highly translational approach underlines its potential to serve as a unique imaging tool for the early detection, diagnosis, and treatment monitoring of arrhythmias through ultrasound-based mapping of the transmural electromechanical activation sequence reliably at the point of care, and in real time.</jats:p> Imaging the electromechanical activity of the heart in vivo Proceedings of the National Academy of Sciences |
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Imaging the electromechanical activity of the heart in vivo |
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Imaging the electromechanical activity of the heart in vivo |
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Imaging the electromechanical activity of the heart in vivo |
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Imaging the electromechanical activity of the heart in vivo |
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Imaging the electromechanical activity of the heart in vivo |
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Imaging the electromechanical activity of the heart in vivo |
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imaging the electromechanical activity of the heart in vivo |
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Multidisciplinary |
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http://dx.doi.org/10.1073/pnas.1011688108 |
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2011 |
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8565-8570 |
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<jats:p>Cardiac conduction abnormalities remain a major cause of death and disability worldwide. However, as of today, there is no standard clinical imaging modality that can noninvasively provide maps of the electrical activation. In this paper, electromechanical wave imaging (EWI), a novel ultrasound-based imaging method, is shown to be capable of mapping the electromechanics of all four cardiac chambers at high temporal and spatial resolutions and a precision previously unobtainable in a full cardiac view in both animals and humans. The transient deformations resulting from the electrical activation of the myocardium were mapped in 2D and combined in 3D biplane ventricular views. EWI maps were acquired during five distinct conduction configurations and were found to be closely correlated to the electrical activation sequences. EWI in humans was shown to be feasible and capable of depicting the normal electromechanical activation sequence of both atria and ventricles. This validation of EWI as a direct, noninvasive, and highly translational approach underlines its potential to serve as a unique imaging tool for the early detection, diagnosis, and treatment monitoring of arrhythmias through ultrasound-based mapping of the transmural electromechanical activation sequence reliably at the point of care, and in real time.</jats:p> |
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| description | <jats:p>Cardiac conduction abnormalities remain a major cause of death and disability worldwide. However, as of today, there is no standard clinical imaging modality that can noninvasively provide maps of the electrical activation. In this paper, electromechanical wave imaging (EWI), a novel ultrasound-based imaging method, is shown to be capable of mapping the electromechanics of all four cardiac chambers at high temporal and spatial resolutions and a precision previously unobtainable in a full cardiac view in both animals and humans. The transient deformations resulting from the electrical activation of the myocardium were mapped in 2D and combined in 3D biplane ventricular views. EWI maps were acquired during five distinct conduction configurations and were found to be closely correlated to the electrical activation sequences. EWI in humans was shown to be feasible and capable of depicting the normal electromechanical activation sequence of both atria and ventricles. This validation of EWI as a direct, noninvasive, and highly translational approach underlines its potential to serve as a unique imaging tool for the early detection, diagnosis, and treatment monitoring of arrhythmias through ultrasound-based mapping of the transmural electromechanical activation sequence reliably at the point of care, and in real time.</jats:p> |
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| spelling | Provost, Jean Lee, Wei-Ning Fujikura, Kana Konofagou, Elisa E. 0027-8424 1091-6490 Proceedings of the National Academy of Sciences Multidisciplinary http://dx.doi.org/10.1073/pnas.1011688108 <jats:p>Cardiac conduction abnormalities remain a major cause of death and disability worldwide. However, as of today, there is no standard clinical imaging modality that can noninvasively provide maps of the electrical activation. In this paper, electromechanical wave imaging (EWI), a novel ultrasound-based imaging method, is shown to be capable of mapping the electromechanics of all four cardiac chambers at high temporal and spatial resolutions and a precision previously unobtainable in a full cardiac view in both animals and humans. The transient deformations resulting from the electrical activation of the myocardium were mapped in 2D and combined in 3D biplane ventricular views. EWI maps were acquired during five distinct conduction configurations and were found to be closely correlated to the electrical activation sequences. EWI in humans was shown to be feasible and capable of depicting the normal electromechanical activation sequence of both atria and ventricles. This validation of EWI as a direct, noninvasive, and highly translational approach underlines its potential to serve as a unique imaging tool for the early detection, diagnosis, and treatment monitoring of arrhythmias through ultrasound-based mapping of the transmural electromechanical activation sequence reliably at the point of care, and in real time.</jats:p> Imaging the electromechanical activity of the heart in vivo Proceedings of the National Academy of Sciences |
| spellingShingle | Provost, Jean, Lee, Wei-Ning, Fujikura, Kana, Konofagou, Elisa E., Proceedings of the National Academy of Sciences, Imaging the electromechanical activity of the heart in vivo, Multidisciplinary |
| title | Imaging the electromechanical activity of the heart in vivo |
| title_full | Imaging the electromechanical activity of the heart in vivo |
| title_fullStr | Imaging the electromechanical activity of the heart in vivo |
| title_full_unstemmed | Imaging the electromechanical activity of the heart in vivo |
| title_short | Imaging the electromechanical activity of the heart in vivo |
| title_sort | imaging the electromechanical activity of the heart in vivo |
| title_unstemmed | Imaging the electromechanical activity of the heart in vivo |
| topic | Multidisciplinary |
| url | http://dx.doi.org/10.1073/pnas.1011688108 |