Academic literature on the topic 'Electromechanical Wave Imaging'

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Journal articles on the topic "Electromechanical Wave Imaging"

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Luther, Stefan. "Electromechanical Wave Imaging." JACC: Clinical Electrophysiology 11, no. 4 (2025): 682–84. https://doi.org/10.1016/j.jacep.2025.02.043.

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Provost, Jean, Vu Thanh-Hieu Nguyen, Diégo Legrand, et al. "Electromechanical wave imaging for arrhythmias." Physics in Medicine and Biology 56, no. 22 (2011): L1—L11. http://dx.doi.org/10.1088/0031-9155/56/22/f01.

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Costet, Alexandre, Lea Melki, Vincent Sayseng, et al. "Electromechanical wave imaging and electromechanical wave velocity estimation in a large animal model of myocardial infarction." Physics in Medicine & Biology 62, no. 24 (2017): 9341–56. http://dx.doi.org/10.1088/1361-6560/aa96d0.

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Zheng, Lu, Hui Dong, Xiaoyu Wu, et al. "Interferometric imaging of nonlocal electromechanical power transduction in ferroelectric domains." Proceedings of the National Academy of Sciences 115, no. 21 (2018): 5338–42. http://dx.doi.org/10.1073/pnas.1722499115.

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The electrical generation and detection of elastic waves are the foundation for acoustoelectronic and acoustooptic systems. For surface acoustic wave devices, microelectromechanical/nanoelectromechanical systems, and phononic crystals, tailoring the spatial variation of material properties such as piezoelectric and elastic tensors may bring significant improvements to the system performance. Due to the much slower speed of sound than speed of light in solids, it is desirable to study various electroacoustic behaviors at the mesoscopic length scale. In this work, we demonstrate the interferomet
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Grubb, Christopher S., Lea Melki, Daniel Y. Wang, et al. "Noninvasive localization of cardiac arrhythmias using electromechanical wave imaging." Science Translational Medicine 12, no. 536 (2020): eaax6111. http://dx.doi.org/10.1126/scitranslmed.aax6111.

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Cardiac arrhythmias are a major cause of morbidity and mortality worldwide. The 12-lead electrocardiogram (ECG) is the current noninvasive clinical tool used to diagnose and localize cardiac arrhythmias. However, it has limited accuracy and is subject to operator bias. Here, we present electromechanical wave imaging (EWI), a high–frame rate ultrasound technique that can noninvasively map with high accuracy the electromechanical activation of atrial and ventricular arrhythmias in adult patients. This study evaluates the accuracy of EWI for localization of various arrhythmias in all four chamber
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Provost, J., Wei-Ning Lee, K. Fujikura, and E. E. Konofagou. "Electromechanical Wave Imaging of Normal and Ischemic HeartsIn Vivo." IEEE Transactions on Medical Imaging 29, no. 3 (2010): 625–35. http://dx.doi.org/10.1109/tmi.2009.2030186.

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Melki, Lea, Melina Tourni, and Elisa E. Konofagou. "Electromechanical Wave Imaging With Machine Learning for Automated Isochrone Generation." IEEE Transactions on Medical Imaging 40, no. 9 (2021): 2258–71. http://dx.doi.org/10.1109/tmi.2021.3074808.

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Konofagou, Elisa E., Jianwen Luo, Deepak Saluja, Daniel O. Cervantes, James Coromilas, and Kana Fujikura. "Noninvasive electromechanical wave imaging and conduction-relevant velocity estimation in vivo." Ultrasonics 50, no. 2 (2010): 208–15. http://dx.doi.org/10.1016/j.ultras.2009.09.026.

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Provost, Jean, Alok Gambhir, John Vest, Hasan Garan, and Elisa E. Konofagou. "A clinical feasibility study of atrial and ventricular electromechanical wave imaging." Heart Rhythm 10, no. 6 (2013): 856–62. http://dx.doi.org/10.1016/j.hrthm.2013.02.028.

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Boissiere, Julien, Mathieu Gautier, Marie-Christine Machet, Gilles Hanton, Pierre Bonnet, and Veronique Eder. "Doppler tissue imaging in assessment of pulmonary hypertension-induced right ventricle dysfunction." American Journal of Physiology-Heart and Circulatory Physiology 289, no. 6 (2005): H2450—H2455. http://dx.doi.org/10.1152/ajpheart.00524.2005.

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We aimed to assess the accuracy of Doppler tissue imaging (DTI) in detecting right ventricle (RV) dysfunction and electromechanical coupling alteration following pulmonary hypertension (PHT) in rat. PHT was induced by chronic hypoxia exposure (hypoxic PHT) or monocrotaline treatment (monocrotaline PHT). In both PHT models, we observed transparietal RV pressure increase and remodeling, including hypertrophy and dilation. Conventional echocardiography provided evidence for pulmonary outflow impairment with midsystolic notch and acceleration time decrease in PHT groups (21.7 ± 1.6 and 13.2 ± 2.9
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Dissertations / Theses on the topic "Electromechanical Wave Imaging"

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Robert, Jade. "Développement de modalités d'imagerie ultrasonore pour le guidage et le suivi interventionnel du traitement des arythmies cardiaques." Electronic Thesis or Diss., Lyon, 2022. http://www.theses.fr/2022LYSE1005.

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Les arythmies cardiaques sont, aujourd’hui encore, un enjeu de santé publique majeur. Certains types d’arythmies affectent plusieurs dizaines de millions de personnes dans le monde, tandis que d’autres sont la cause principale de mort subite cardiaque. Dans les cas les plus sévères, il est impératif de recourir à un traitement, afin de préserver l’intégrité du patient. Or, les méthodes interventionnelles, de guidage et de suivi de ce traitement, sont limitées, menant ainsi à un taux de récurrence parfois élevé, en fonction du type d’arythmie. Cette thèse s’intéresse alors au développement de m
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Provost, Jean. "Electromechanical Wave Imaging." Thesis, 2012. https://doi.org/10.7916/D83J3B2N.

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Cardiac conduction abnormalities and arrhythmias are associated with stroke, heart failure, and sudden cardiac death, and remain a major cause of death and disability. However, the imaging tools currently available to the physician to guide these treatments by mapping the activation sequence of the heart are invasive, ionizing, time-consuming, and costly. In this dissertation, Electromechanical Wave Imaging (EWI) is described with an aim to characterize normal and abnormal rhythms noninvasively, transmurally, at the point of care, and in real time. More specifically, the methods to map the el
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Costet, Alexandre. "Electromechanical wave imaging for the in vivo characterization and assessment of cardiac arrhythmias." Thesis, 2016. https://doi.org/10.7916/D81G0MHB.

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Cardiac diseases and conduction disorders are associated with stroke, heart failure and sudden cardiac death and are a major health concern worldwide. In the US alone, more than 14 million people suffer from heart rhythm disorders. Current mapping and characterization techniques in the clinic involve invasive procedures, which are time-consuming, costly, and may involve ionizing radiation. In this dissertation, we introduce Electromechanical Wave Imaging (EWI) as a non-invasive, ultrasound-based treatment planning tool for pre-procedure characterization and assessment of arrhythmia in th
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Melki, Lea. "Electromechanical Wave Imaging in the clinic: localization of atrial and ventricular arrhythmias and quantification of cardiac resynchronization therapy response." Thesis, 2020. https://doi.org/10.7916/d8-nxy6-ks03.

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Cardiac conduction abnormalities can often lead to heart failure, stroke and sudden cardiac death. Heart disease stands as the leading cause of mortality and morbidity in the United States, accounting for 30% of all deaths. Early detection of malfunctions such as arrhythmias and systolic heart failure, the two heart conditions studied in this dissertation, would definitely help reduce the burden cardiovascular diseases have on public health and overcome the current clinical challenges. The imaging techniques currently available to doctors for cardiac activation sequence mapping are invasive, i
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Books on the topic "Electromechanical Wave Imaging"

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Provost, Jean. Electromechanical Wave Imaging. [publisher not identified], 2012.

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Costet, Alexandre. Electromechanical wave imaging for the in vivo characterization and assessment of cardiac arrhythmias. [publisher not identified], 2016.

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Melki, Lea. Electromechanical Wave Imaging in the clinic: Localization of atrial and ventricular arrhythmias and quantification of cardiac resynchronization therapy response. [publisher not identified], 2020.

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Book chapters on the topic "Electromechanical Wave Imaging"

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Konofagou, Elisa. "Electromechanical Wave Imaging." In Cardiac Mapping. John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119152637.ch85.

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Conference papers on the topic "Electromechanical Wave Imaging"

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Özsoy, Çağla, Ali Özbek, Xosé Luís Deán-Ben, and Daniel Razansky. "Ultrafast imaging of cardiac electromechanical wave propagation with volumetric optoacoustic tomography." In Photons Plus Ultrasound: Imaging and Sensing 2020, edited by Alexander A. Oraevsky and Lihong V. Wang. SPIE, 2020. http://dx.doi.org/10.1117/12.2545890.

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Schleifer, Hannah, Jad El Harake, Melina Tourni, Yik Tung Tracy Ling, and Elisa Konofagou. "Myocardial Infarction Detection Using Combined Myocardial Elastography and Electromechanical Wave Imaging." In 2023 IEEE International Ultrasonics Symposium (IUS). IEEE, 2023. http://dx.doi.org/10.1109/ius51837.2023.10308190.

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Konofagou, E., Jianwen Luo, D. Saluja, K. Fujikura, D. Cervantes, and J. Coromilas. "11B-1 Noninvasive Electromechanical Wave Imaging and Conduction Velocity Estimation In Vivo." In 2007 IEEE Ultrasonics Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ultsym.2007.247.

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Tourni, Melina, Alexandra Channing, Seungyeon Han, Mary Kucinski, and Elisa Konofagou. "Electromechanical Wave Imaging for pediatric mitral valve disease characterization in the clinic." In 2023 IEEE International Ultrasonics Symposium (IUS). IEEE, 2023. http://dx.doi.org/10.1109/ius51837.2023.10308206.

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Luo, J., K. Fujikura, E. Konofagou, D. Cervantes, and J. Coromilas. "2I-6 Imaging the Electromechanical Wave Activation of the Left Ventricle in Vivo." In 2006 IEEE Ultrasonics Symposium. IEEE, 2006. http://dx.doi.org/10.1109/ultsym.2006.234.

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Provost, Jean, Wei-Ning Lee, Kana Fujikura, and Elisa E. Konofagou. "Non-invasive localization and quantification of graded ischemia using Electromechanical Wave Imaging in vivo." In 2009 IEEE International Ultrasonics Symposium. IEEE, 2009. http://dx.doi.org/10.1109/ultsym.2009.5441811.

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Tourni, Melina, Lea Melki, Rachel Weber, and Elisa Konofagou. "Automated Electromechanical Wave Imaging at Reduced Frame Rates During Sinus Rhythm Using Machine Learning." In 2021 IEEE International Ultrasonics Symposium (IUS). IEEE, 2021. http://dx.doi.org/10.1109/ius52206.2021.9593463.

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Melki, Lea, Christopher S. Grubb, Rachel Weber, et al. "3D-rendered Electromechanical Wave Imaging for Localization of Accessory Pathways in Wolff-Parkinson-White Minors*." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8857876.

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Provost, J., W.-N. Lee, K. Fujikura, and E. E. Konofagou. "Electromechanical Wave Imaging for non-invasive localization and quantification of partially ischemic regions in vivo." In 2010 36th Annual Northeast Bioengineering Conference. IEEE, 2010. http://dx.doi.org/10.1109/nebc.2010.5458126.

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Grondin, Julien, Dafang Wang, Elaine Wan, Natalia Trayanova, and Elisa Konofagou. "Notice of Removal: 3-D electromechanical wave imaging in the heart in silico and in vivo." In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092908.

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