Littérature scientifique sur le sujet « Electromechanical Wave Imaging »
Créez une référence correcte selon les styles APA, MLA, Chicago, Harvard et plusieurs autres
Consultez les listes thématiques d’articles de revues, de livres, de thèses, de rapports de conférences et d’autres sources académiques sur le sujet « Electromechanical Wave Imaging ».
À côté de chaque source dans la liste de références il y a un bouton « Ajouter à la bibliographie ». Cliquez sur ce bouton, et nous générerons automatiquement la référence bibliographique pour la source choisie selon votre style de citation préféré : APA, MLA, Harvard, Vancouver, Chicago, etc.
Vous pouvez aussi télécharger le texte intégral de la publication scolaire au format pdf et consulter son résumé en ligne lorsque ces informations sont inclues dans les métadonnées.
Articles de revues sur le sujet "Electromechanical Wave Imaging"
Provost, Jean, Vu Thanh-Hieu Nguyen, Diégo Legrand, Stan Okrasinski, Alexandre Costet, Alok Gambhir, Hasan Garan et Elisa E. Konofagou. « Electromechanical wave imaging for arrhythmias ». Physics in Medicine and Biology 56, no 22 (25 octobre 2011) : L1—L11. http://dx.doi.org/10.1088/0031-9155/56/22/f01.
Texte intégralCostet, Alexandre, Lea Melki, Vincent Sayseng, Nadira Hamid, Koki Nakanishi, Elaine Wan, Rebecca Hahn, Shunichi Homma et Elisa Konofagou. « Electromechanical wave imaging and electromechanical wave velocity estimation in a large animal model of myocardial infarction ». Physics in Medicine & ; Biology 62, no 24 (21 novembre 2017) : 9341–56. http://dx.doi.org/10.1088/1361-6560/aa96d0.
Texte intégralZheng, Lu, Hui Dong, Xiaoyu Wu, Yen-Lin Huang, Wenbo Wang, Weida Wu, Zheng Wang et Keji Lai. « Interferometric imaging of nonlocal electromechanical power transduction in ferroelectric domains ». Proceedings of the National Academy of Sciences 115, no 21 (7 mai 2018) : 5338–42. http://dx.doi.org/10.1073/pnas.1722499115.
Texte intégralGrubb, Christopher S., Lea Melki, Daniel Y. Wang, James Peacock, Jose Dizon, Vivek Iyer, Carmine Sorbera et al. « Noninvasive localization of cardiac arrhythmias using electromechanical wave imaging ». Science Translational Medicine 12, no 536 (25 mars 2020) : eaax6111. http://dx.doi.org/10.1126/scitranslmed.aax6111.
Texte intégralProvost, J., Wei-Ning Lee, K. Fujikura et E. E. Konofagou. « Electromechanical Wave Imaging of Normal and Ischemic HeartsIn Vivo ». IEEE Transactions on Medical Imaging 29, no 3 (mars 2010) : 625–35. http://dx.doi.org/10.1109/tmi.2009.2030186.
Texte intégralMelki, Lea, Melina Tourni et Elisa E. Konofagou. « Electromechanical Wave Imaging With Machine Learning for Automated Isochrone Generation ». IEEE Transactions on Medical Imaging 40, no 9 (septembre 2021) : 2258–71. http://dx.doi.org/10.1109/tmi.2021.3074808.
Texte intégralKonofagou, Elisa E., Jianwen Luo, Deepak Saluja, Daniel O. Cervantes, James Coromilas et Kana Fujikura. « Noninvasive electromechanical wave imaging and conduction-relevant velocity estimation in vivo ». Ultrasonics 50, no 2 (février 2010) : 208–15. http://dx.doi.org/10.1016/j.ultras.2009.09.026.
Texte intégralProvost, Jean, Alok Gambhir, John Vest, Hasan Garan et Elisa E. Konofagou. « A clinical feasibility study of atrial and ventricular electromechanical wave imaging ». Heart Rhythm 10, no 6 (juin 2013) : 856–62. http://dx.doi.org/10.1016/j.hrthm.2013.02.028.
Texte intégralProvost, Jean, Alexandre Costet, Elaine Wan, Alok Gambhir, William Whang, Hasan Garan et Elisa E. Konofagou. « Assessing the atrial electromechanical coupling during atrial focal tachycardia, flutter, and fibrillation using electromechanical wave imaging in humans ». Computers in Biology and Medicine 65 (octobre 2015) : 161–67. http://dx.doi.org/10.1016/j.compbiomed.2015.08.005.
Texte intégralBoissiere, Julien, Mathieu Gautier, Marie-Christine Machet, Gilles Hanton, Pierre Bonnet et 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 (décembre 2005) : H2450—H2455. http://dx.doi.org/10.1152/ajpheart.00524.2005.
Texte intégralThèses sur le sujet "Electromechanical Wave Imaging"
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.
Texte intégralCardiac arrhythmias remain a major public health issue today. Some types of arrhythmias affect tens of millions of people worldwide, while others are the main cause of sudden cardiac death. In the most severe cases, it is imperative perform a treatment in order to preserve the integrity of the patient. However, interventional methods for guiding and monitoring this treatment are limited, sometimes leading to high recurrence rates, depending on the type of arrhythmia. This thesis focuses on the development of ultrafast ultrasound imaging modalities that can overcome these limitations. These modalities are Electromechanical Wave Imaging and Passive Elastography, and could provide relevant information, until now unavailable in clinic. First, ex-vivo studies on isolated working hearts were conducted to evaluate the potential of Electromechanical Wave Imaging. A blind study demonstrated that it was possible to accurately detect the type of stimulation and the source of contraction in 79% of cases. Then, two in-vivo studies, conducted on porcine model, allowed to study the feasibility of the electromechanical wave imaging on two types of probes, more adapted to an interventional context. Waves that could be associated with cardiac contraction were visualized in both studies. Nevertheless, dynamic visualization of the contraction wave was more complex in an in-vivo context, as it requires subjective interpretation of a trained reader. To address this limitation, a novel method based on time-frequency analysis of ultrasound data was developed to provide a more objective representation of the cardiac contraction, without the need of a trained reader. The method was validated, qualitatively and quantitatively, on ex-vivo data, against the reference method used for Electromechanical Wave Imaging in the literature. By applying the method to the data from the in-vivo studies, it could be demonstrated that the described contraction patterns are similar between two consecutive stimulations with same conditions, and that the contraction source is correctly positioned when the stimulation probe is located in the plane. Notably, the observed contraction area was consistent with the pacing area, when located in the imaging plane, in 81% of the cases, during the study performed with an intracardiac probe. Ex-vivo studies on cardiac samples were performed to evaluate the feasibility of detecting single lesions and thermal injury patterns by Passive Elastography. It was demonstrated on a large number of samples (41 out of n = 51, 80% on two studies) that a local stiffness increase (by a factor of 1.6 to 2.5 on average), of the injured areas, was visible by elastography. The distributions of the detected lesions were consistent, and the dimensions correctly estimated (manually, 1.1 to 2.8 mm error on average), although the lesion areas detected by passive elastography were still approximate. Finally, an in-vivo study on a porcine model demonstrated the feasibility of detecting individual or in-line thermal lesions with this method
Provost, Jean. « Electromechanical Wave Imaging ». Thesis, 2012. https://doi.org/10.7916/D83J3B2N.
Texte intégralCostet, Alexandre. « Electromechanical wave imaging for the in vivo characterization and assessment of cardiac arrhythmias ». Thesis, 2016. https://doi.org/10.7916/D81G0MHB.
Texte intégralMelki, 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.
Texte intégralLivres sur le sujet "Electromechanical Wave Imaging"
Provost, Jean. Electromechanical Wave Imaging. [New York, N.Y.?] : [publisher not identified], 2012.
Trouver le texte intégralCostet, Alexandre. Electromechanical wave imaging for the in vivo characterization and assessment of cardiac arrhythmias. [New York, N.Y.?] : [publisher not identified], 2016.
Trouver le texte intégralChapitres de livres sur le sujet "Electromechanical Wave Imaging"
Konofagou, Elisa. « Electromechanical Wave Imaging ». Dans Cardiac Mapping, 1083–95. Chichester, UK : John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119152637.ch85.
Texte intégralActes de conférences sur le sujet "Electromechanical Wave Imaging"
Özsoy, Çağla, Ali Özbek, Xosé Luís Deán-Ben et Daniel Razansky. « Ultrafast imaging of cardiac electromechanical wave propagation with volumetric optoacoustic tomography ». Dans Photons Plus Ultrasound : Imaging and Sensing 2020, sous la direction de Alexander A. Oraevsky et Lihong V. Wang. SPIE, 2020. http://dx.doi.org/10.1117/12.2545890.
Texte intégralSchleifer, Hannah, Jad El Harake, Melina Tourni, Yik Tung Tracy Ling et Elisa Konofagou. « Myocardial Infarction Detection Using Combined Myocardial Elastography and Electromechanical Wave Imaging ». Dans 2023 IEEE International Ultrasonics Symposium (IUS). IEEE, 2023. http://dx.doi.org/10.1109/ius51837.2023.10308190.
Texte intégralKonofagou, E., Jianwen Luo, D. Saluja, K. Fujikura, D. Cervantes et J. Coromilas. « 11B-1 Noninvasive Electromechanical Wave Imaging and Conduction Velocity Estimation In Vivo ». Dans 2007 IEEE Ultrasonics Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ultsym.2007.247.
Texte intégralTourni, Melina, Alexandra Channing, Seungyeon Han, Mary Kucinski et Elisa Konofagou. « Electromechanical Wave Imaging for pediatric mitral valve disease characterization in the clinic ». Dans 2023 IEEE International Ultrasonics Symposium (IUS). IEEE, 2023. http://dx.doi.org/10.1109/ius51837.2023.10308206.
Texte intégralLuo, J., K. Fujikura, E. Konofagou, D. Cervantes et J. Coromilas. « 2I-6 Imaging the Electromechanical Wave Activation of the Left Ventricle in Vivo ». Dans 2006 IEEE Ultrasonics Symposium. IEEE, 2006. http://dx.doi.org/10.1109/ultsym.2006.234.
Texte intégralProvost, Jean, Wei-Ning Lee, Kana Fujikura et Elisa E. Konofagou. « Non-invasive localization and quantification of graded ischemia using Electromechanical Wave Imaging in vivo ». Dans 2009 IEEE International Ultrasonics Symposium. IEEE, 2009. http://dx.doi.org/10.1109/ultsym.2009.5441811.
Texte intégralTourni, Melina, Lea Melki, Rachel Weber et Elisa Konofagou. « Automated Electromechanical Wave Imaging at Reduced Frame Rates During Sinus Rhythm Using Machine Learning ». Dans 2021 IEEE International Ultrasonics Symposium (IUS). IEEE, 2021. http://dx.doi.org/10.1109/ius52206.2021.9593463.
Texte intégralMelki, Lea, Christopher S. Grubb, Rachel Weber, Pierre Nauleau, Hasan Garan, Elaine Wan, Eric S. Silver, Leonardo Liberman et Elisa E. Konofagou. « 3D-rendered Electromechanical Wave Imaging for Localization of Accessory Pathways in Wolff-Parkinson-White Minors* ». Dans 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.
Texte intégralProvost, J., W.-N. Lee, K. Fujikura et E. E. Konofagou. « Electromechanical Wave Imaging for non-invasive localization and quantification of partially ischemic regions in vivo ». Dans 2010 36th Annual Northeast Bioengineering Conference. IEEE, 2010. http://dx.doi.org/10.1109/nebc.2010.5458126.
Texte intégralGrondin, Julien, Dafang Wang, Elaine Wan, Natalia Trayanova et Elisa Konofagou. « Notice of Removal : 3-D electromechanical wave imaging in the heart in silico and in vivo ». Dans 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092908.
Texte intégral