Auswahl der wissenschaftlichen Literatur zum Thema „Electromechanical Wave Imaging“
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Zeitschriftenartikel zum Thema "Electromechanical Wave Imaging"
Provost, Jean, Vu Thanh-Hieu Nguyen, Diégo Legrand, Stan Okrasinski, Alexandre Costet, Alok Gambhir, Hasan Garan und Elisa E. Konofagou. „Electromechanical wave imaging for arrhythmias“. Physics in Medicine and Biology 56, Nr. 22 (25.10.2011): L1—L11. http://dx.doi.org/10.1088/0031-9155/56/22/f01.
Der volle Inhalt der QuelleCostet, Alexandre, Lea Melki, Vincent Sayseng, Nadira Hamid, Koki Nakanishi, Elaine Wan, Rebecca Hahn, Shunichi Homma und Elisa Konofagou. „Electromechanical wave imaging and electromechanical wave velocity estimation in a large animal model of myocardial infarction“. Physics in Medicine & Biology 62, Nr. 24 (21.11.2017): 9341–56. http://dx.doi.org/10.1088/1361-6560/aa96d0.
Der volle Inhalt der QuelleZheng, Lu, Hui Dong, Xiaoyu Wu, Yen-Lin Huang, Wenbo Wang, Weida Wu, Zheng Wang und Keji Lai. „Interferometric imaging of nonlocal electromechanical power transduction in ferroelectric domains“. Proceedings of the National Academy of Sciences 115, Nr. 21 (07.05.2018): 5338–42. http://dx.doi.org/10.1073/pnas.1722499115.
Der volle Inhalt der QuelleGrubb, 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, Nr. 536 (25.03.2020): eaax6111. http://dx.doi.org/10.1126/scitranslmed.aax6111.
Der volle Inhalt der QuelleProvost, J., Wei-Ning Lee, K. Fujikura und E. E. Konofagou. „Electromechanical Wave Imaging of Normal and Ischemic HeartsIn Vivo“. IEEE Transactions on Medical Imaging 29, Nr. 3 (März 2010): 625–35. http://dx.doi.org/10.1109/tmi.2009.2030186.
Der volle Inhalt der QuelleMelki, Lea, Melina Tourni und Elisa E. Konofagou. „Electromechanical Wave Imaging With Machine Learning for Automated Isochrone Generation“. IEEE Transactions on Medical Imaging 40, Nr. 9 (September 2021): 2258–71. http://dx.doi.org/10.1109/tmi.2021.3074808.
Der volle Inhalt der QuelleKonofagou, Elisa E., Jianwen Luo, Deepak Saluja, Daniel O. Cervantes, James Coromilas und Kana Fujikura. „Noninvasive electromechanical wave imaging and conduction-relevant velocity estimation in vivo“. Ultrasonics 50, Nr. 2 (Februar 2010): 208–15. http://dx.doi.org/10.1016/j.ultras.2009.09.026.
Der volle Inhalt der QuelleProvost, Jean, Alok Gambhir, John Vest, Hasan Garan und Elisa E. Konofagou. „A clinical feasibility study of atrial and ventricular electromechanical wave imaging“. Heart Rhythm 10, Nr. 6 (Juni 2013): 856–62. http://dx.doi.org/10.1016/j.hrthm.2013.02.028.
Der volle Inhalt der QuelleProvost, Jean, Alexandre Costet, Elaine Wan, Alok Gambhir, William Whang, Hasan Garan und 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 (Oktober 2015): 161–67. http://dx.doi.org/10.1016/j.compbiomed.2015.08.005.
Der volle Inhalt der QuelleBoissiere, Julien, Mathieu Gautier, Marie-Christine Machet, Gilles Hanton, Pierre Bonnet und Veronique Eder. „Doppler tissue imaging in assessment of pulmonary hypertension-induced right ventricle dysfunction“. American Journal of Physiology-Heart and Circulatory Physiology 289, Nr. 6 (Dezember 2005): H2450—H2455. http://dx.doi.org/10.1152/ajpheart.00524.2005.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleCardiac 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.
Der volle Inhalt der QuelleCostet, Alexandre. „Electromechanical wave imaging for the in vivo characterization and assessment of cardiac arrhythmias“. Thesis, 2016. https://doi.org/10.7916/D81G0MHB.
Der volle Inhalt der QuelleMelki, 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.
Der volle Inhalt der QuelleBücher zum Thema "Electromechanical Wave Imaging"
Provost, Jean. Electromechanical Wave Imaging. [New York, N.Y.?]: [publisher not identified], 2012.
Den vollen Inhalt der Quelle findenCostet, Alexandre. Electromechanical wave imaging for the in vivo characterization and assessment of cardiac arrhythmias. [New York, N.Y.?]: [publisher not identified], 2016.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Electromechanical Wave Imaging"
Konofagou, Elisa. „Electromechanical Wave Imaging“. In Cardiac Mapping, 1083–95. Chichester, UK: John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119152637.ch85.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Electromechanical Wave Imaging"
Özsoy, Çağla, Ali Özbek, Xosé Luís Deán-Ben und Daniel Razansky. „Ultrafast imaging of cardiac electromechanical wave propagation with volumetric optoacoustic tomography“. In Photons Plus Ultrasound: Imaging and Sensing 2020, herausgegeben von Alexander A. Oraevsky und Lihong V. Wang. SPIE, 2020. http://dx.doi.org/10.1117/12.2545890.
Der volle Inhalt der QuelleSchleifer, Hannah, Jad El Harake, Melina Tourni, Yik Tung Tracy Ling und 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.
Der volle Inhalt der QuelleKonofagou, E., Jianwen Luo, D. Saluja, K. Fujikura, D. Cervantes und 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.
Der volle Inhalt der QuelleTourni, Melina, Alexandra Channing, Seungyeon Han, Mary Kucinski und 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.
Der volle Inhalt der QuelleLuo, J., K. Fujikura, E. Konofagou, D. Cervantes und 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.
Der volle Inhalt der QuelleProvost, Jean, Wei-Ning Lee, Kana Fujikura und 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.
Der volle Inhalt der QuelleTourni, Melina, Lea Melki, Rachel Weber und 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.
Der volle Inhalt der QuelleMelki, Lea, Christopher S. Grubb, Rachel Weber, Pierre Nauleau, Hasan Garan, Elaine Wan, Eric S. Silver, Leonardo Liberman und Elisa E. Konofagou. „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.
Der volle Inhalt der QuelleProvost, J., W.-N. Lee, K. Fujikura und 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.
Der volle Inhalt der QuelleGrondin, Julien, Dafang Wang, Elaine Wan, Natalia Trayanova und 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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