Auswahl der wissenschaftlichen Literatur zum Thema „Echocardiography motion tracking“
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Zeitschriftenartikel zum Thema "Echocardiography motion tracking"
Du Toit, Riëtte, Phillip G. Herbst, Annari van Rensburg, Hendrik W. Snyman, Helmuth Reuter und Anton F. Doubell. „Speckle tracking echocardiography in acute lupus myocarditis: comparison to conventional echocardiography“. Echo Research and Practice 4, Nr. 2 (Juni 2017): 9–19. http://dx.doi.org/10.1530/erp-17-0005.
Der volle Inhalt der QuelleAhn, Chi Young. „Robust Myocardial Motion Tracking for Echocardiography: Variational Framework Integrating Local-to-Global Deformation“. Computational and Mathematical Methods in Medicine 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/974027.
Der volle Inhalt der QuelleAniyathodiyil, Gopi, Sunil S. Bohra, Anup Mottengar und Satish C. Govind. „Speckle-Tracking Echocardiography to Assess Global and Regional Left Ventricular Function in Acute Myocardial Infarction“. Journal of The Indian Academy of Echocardiography & Cardiovascular Imaging 1, Nr. 3 (2017): 177–84. http://dx.doi.org/10.4103/jiae.jiae_24_17.
Der volle Inhalt der QuelleHong, Gloria H., Allison G. Hays und Nisha A. Gilotra. „The Evolving Role of Echocardiography During the Coronavirus Disease 2019 Pandemic“. Heart International 16, Nr. 1 (2022): 28. http://dx.doi.org/10.17925/hi.2022.16.1.28.
Der volle Inhalt der QuellePiros, Györgyike Ágnes, Péter Domsik, Anita Kalapos, Csaba Lengyel, Andrea Orosz, Tamás Forster und Attila Nemes. „A jobb pitvar és bal kamra méretének és funkciójának összefüggései egészségesekben. Eredmények a háromdimenziós speckle-tracking echokardiográfiás MAGYAR-Healthy Tanulmányból“. Orvosi Hetilap 156, Nr. 24 (Juni 2015): 972–78. http://dx.doi.org/10.1556/650.2015.30133.
Der volle Inhalt der QuelleNesser, Hans Joachim. „Wall Motion Tracking and Activation Imaging – Latest Developments and Applications for Patients with Heart Failure“. European Cardiology Review 8, Nr. 1 (2012): 51. http://dx.doi.org/10.15420/ecr.2012.8.1.51.
Der volle Inhalt der QuelleSEO, Yoshihiro, Tomoko ISHIZU, Akiko ATSUMI, Ryo KAWAMURA und Kazutaka AONUMA. „Cardiac wall motion analysis by three-dimensional speckle tracking echocardiography“. Choonpa Igaku 41, Nr. 2 (2014): 155–63. http://dx.doi.org/10.3179/jjmu.jjmu.r.13.
Der volle Inhalt der QuelleEnzensberger, C., J. Degenhardt, A. Tenzer, A. Doelle und R. Axt-Fliedner. „First Experience with Three-Dimensional Speckle Tracking (3D Wall Motion Tracking) in Fetal Echocardiography“. Ultraschall in der Medizin - European Journal of Ultrasound 35, Nr. 06 (20.08.2014): 566–72. http://dx.doi.org/10.1055/s-0034-1384882.
Der volle Inhalt der QuelleТуаева, Z. Tuaeva, Кириченко und T. Kirichenko. „Clinical significance of myocardial strain in the patients with chd (literature review)“. Journal of New Medical Technologies. eJournal 8, Nr. 1 (05.11.2014): 0. http://dx.doi.org/10.12737/7363.
Der volle Inhalt der QuelleShiri, M., H. Behnam, H. Yeganegi, Z. A. Sani und N. Nematollahi. „TRACKABLE-SPECKLE DETECTION USING A DUAL-PATH CONVOLUTIONAL NEURAL NETWORK FOR NODES SELECTION IN SPECKLE TRACKING ECHOCARDIOGRAPHY“. Asian Journal Of Medical Technology 2, Nr. 2 (05.08.2022): 33–54. http://dx.doi.org/10.32896/ajmedtech.v2n2.33-54.
Der volle Inhalt der QuelleDissertationen zum Thema "Echocardiography motion tracking"
Joos, Philippe. „Imagerie ultrasonore ultra-rapide dédiée à la quantification 3D du mouvement cardiaque“. Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE1312/document.
Der volle Inhalt der QuelleThis PhD work focuses on the development and the evaluation of imaging techniques in echocardiography. Our objective is to propose ultrafast ultrasound imaging methods for 2-D and 3-D cardiac motion estimations.Echocardiography is one of the most widespread modality for cardiovascular imaging. Conventional clinical scanners allow measurement of myocardial velocities and deformations at 80 images / s. In some situations, it can be recommended to increase the heart rate during a stress echocardiographic examination. Motion estimation of the whole myocardium at such heart rates is challenging with the conventional imaging systems. In addition, the low temporal resolution of the current conventional 3-D echocardiography limits quantitative applications, which would be needed for a complete characterization of the heart.The three contributions presented here are 1) the development and evaluation of an original method for 2-D cardiac motion estimation, with ultrafast imaging and image tagging, 2) the feasibility study of the global myocardial deformation measurement using an innovative 2-D ultrafast ultrasound imaging method and 3) the generalization of this approach in three dimensions for high frame-rate 3-D echocardiography. This method is based on the transmission of divergent waves and the integration of motion compensation, during the imaging process, to produce high-quality volumetric images of the heart.The proposed method allows 2-D cardiac motion estimation and 3-D echocardiography at high frame-rate. The evaluation of our approach for local 2-D and 3-D myocardial deformation measurements should permit to conduct further study in order to improve medical diagnosis
Zhao, Ying. „Effect of valve replacement for aortic stenosis on ventricular function“. Doctoral thesis, Umeå universitet, Institutionen för folkhälsa och klinisk medicin, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-46809.
Der volle Inhalt der QuelleYang, Yingyu. „Analyse automatique de la fonction cardiaque par intelligence artificielle : approche multimodale pour un dispositif d'échocardiographie portable“. Electronic Thesis or Diss., Université Côte d'Azur, 2023. http://www.theses.fr/2023COAZ4107.
Der volle Inhalt der QuelleAccording to the 2023 annual report of the World Heart Federation, cardiovascular diseases (CVD) accounted for nearly one third of all global deaths in 2021. Compared to high-income countries, more than 80% of CVD deaths occurred in low and middle-income countries. The inequitable distribution of CVD diagnosis and treatment resources still remains unresolved. In the face of this challenge, affordable point-of-care ultrasound (POCUS) devices demonstrate significant potential to improve the diagnosis of CVDs. Furthermore, by taking advantage of artificial intelligence (AI)-based tools, POCUS enables non-experts to help, thus largely improving the access to care, especially in less-served regions.The objective of this thesis is to develop robust and automatic algorithms to analyse cardiac function for POCUS devices, with a focus on echocardiography (ECHO) and electrocardiogram (ECG). Our first goal is to obtain explainable cardiac features from each single modality respectively. Our second goal is to explore a multi-modal approach by combining ECHO and ECG data.We start by presenting two novel deep learning (DL) frameworks for echocardiography segmentation and motion estimation tasks, respectively. By incorporating shape prior and motion prior into DL models, we demonstrate through extensive experiments that such prior can help improve the accuracy and generalises well on different unseen datasets. Furthermore, we are able to extract left ventricle ejection fraction (LVEF), global longitudinal strain (GLS) and other useful indices for myocardial infarction (MI) detection.Next, we propose an explainable DL model for unsupervised electrocardiogram decomposition. This model can extract interpretable information related to different ECG subwaves without manual annotation. We further apply those parameters to a linear classifier for myocardial infarction detection, which showed good generalisation across different datasets.Finally, we combine data from both modalities together for trustworthy multi-modal classification. Our approach employs decision-level fusion with uncertainty, allowing training with unpaired multi-modal data. We further evaluate the trained model using paired multi-modal data, showcasing the potential of multi-modal MI detection to surpass that from a single modality.Overall, our proposed robust and generalisable algorithms for ECHO and ECG analysis demonstrate significant potential for portable cardiac function analysis. We anticipate that our novel framework could be further validated using real-world portable devices. We envision that such advanced integrative tools may significantly contribute towards better identification of CVD patients
Ting, Tzu-Heng, und 丁子恆. „Evaluation of Left Ventricular Myocardial Motion by Speckle Tracking Echocardiography in Maltese Dogs with Myxomatous Mitral Valve Disease“. Thesis, 2013. http://ndltd.ncl.edu.tw/handle/65896734122821337116.
Der volle Inhalt der QuelleBücher zum Thema "Echocardiography motion tracking"
Edvardsen, Thor. Cardiomyopathies, myocarditis, and the transplanted heart. Herausgegeben von Frank Flachskampf. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0094.
Der volle Inhalt der QuelleLancellotti, Patrizio, und Bernard Cosyns, Hrsg. The EACVI Echo Handbook. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198713623.001.0001.
Der volle Inhalt der QuelleCitro, Rodolfo, Laurent Davin und Daniel Rodriguez Muñoz. Takotsubo syndrome. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0046.
Der volle Inhalt der QuelleLancellotti, Patrizio, und Bernard Cosyns. The Standard Transthoracic Echo Examination. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198713623.003.0002.
Der volle Inhalt der QuelleVoigt, Jens-Uwe. Quantification of left ventricular function and synchrony using tissue Doppler, strain imaging, and speckle tracking. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0006.
Der volle Inhalt der QuelleBuchteile zum Thema "Echocardiography motion tracking"
Casas Rojo, Eduardo. „3D-Wall Motion Tracking: Measuring Myocardial Strain with 3D“. In Manual of 3D Echocardiography, 145–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50335-6_6.
Der volle Inhalt der QuelleCuriale, Ariel Hernán, Gonzalo Vegas Sánchez-Ferrero und Santiago Aja-Fernández. „Speckle Tracking in Interpolated Echocardiography to Estimate Heart Motion“. In Functional Imaging and Modeling of the Heart, 325–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38899-6_39.
Der volle Inhalt der QuelleTa, Kevinminh, Shawn S. Ahn, John C. Stendahl, Albert J. Sinusas und James S. Duncan. „A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography“. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 468–77. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59725-2_45.
Der volle Inhalt der Quelle„3D Wall Motion Tracking as the Ultimate Technology for Wall Motion Analysis“. In Live/Real Time 3D Echocardiography, 287–93. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444320305.ch16.
Der volle Inhalt der QuelleEdvardsen, Thor. „Cardiomyopathies, myocarditis, and the transplanted heart“. In ESC CardioMed, herausgegeben von Frank Flachskampf, 456–60. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0094_update_001.
Der volle Inhalt der QuelleEdvardsen, Thor, Lars Gunnar Klaeboe, Ewa Szymczyk und Jarosław D. Kasprzak. „Assessment of myocardial function by speckle-tracking echocardiography“. In The ESC Textbook of Cardiovascular Imaging, herausgegeben von José Luis Zamorano, Jeroen J. Bax, Juhani Knuuti, Patrizio Lancellotti, Fausto J. Pinto, Bogdan A. Popescu und Udo Sechtem, 103–10. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198849353.003.0007.
Der volle Inhalt der QuelleHoffmann, Rainer, und Paolo Colonna. „Evaluation of left ventricular systolic function and mechanics“. In The ESC Textbook of Cardiovascular Imaging, 315–22. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780198703341.003.0023.
Der volle Inhalt der QuelleVoigt, Jens-Uwe. „Principles of echocardiographic imaging and velocity assessment by Doppler and speckle tracking“. In ESC CardioMed, herausgegeben von Frank Flachskampf, 419–22. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0083.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Echocardiography motion tracking"
Ahn, Shawn, Kevinminh Ta, Allen Lu, John C. Stendahl, Albert J. Sinusas und James S. Duncan. „Unsupervised motion tracking of left ventricle in echocardiography“. In Ultrasonic Imaging and Tomography, herausgegeben von Nicole V. Ruiter und Brett C. Byram. SPIE, 2020. http://dx.doi.org/10.1117/12.2549572.
Der volle Inhalt der QuelleSong, Xubo, Andriy Myronenko und David J. Sahn. „Speckle Tracking in 3D Echocardiography with Motion Coherence“. In 2007 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/cvpr.2007.383140.
Der volle Inhalt der QuelleChen, Yida, Xiaoyan Zhang, Christopher M. Haggerty und Joshua V. Stough. „Fully automated multi-heartbeat echocardiography video segmentation and motion tracking“. In Image Processing, herausgegeben von Ivana Išgum und Olivier Colliot. SPIE, 2022. http://dx.doi.org/10.1117/12.2607871.
Der volle Inhalt der QuelleAhn, Chi, und Jin Seo. „Myocardial motion tracking method integrating local-to-global deformation for echocardiography“. In 2012 International Ultrasonics Symposium. IEEE, 2012. http://dx.doi.org/10.1109/ultsym.2012.0692.
Der volle Inhalt der QuelleYinbo Li, C. D. Garson, Yaqin Xu, B. A. French und J. A. Hossack. „10C-4 Improved Myocardial Motion Tracking in Mouse Echocardiography Using Large-Diameter Microbubbles“. In 2007 IEEE Ultrasonics Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ultsym.2007.228.
Der volle Inhalt der QuelleTa, Kevinminh, Shawn S. Ahn, Allen Lu, John C. Stendahl, Albert J. Sinusas und James S. Duncan. „A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in Echocardiography“. In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). IEEE, 2020. http://dx.doi.org/10.1109/isbi45749.2020.9098664.
Der volle Inhalt der QuelleTouil, Basma, Adrian Basarab, Olivier Bernard und Denis Friboulet. „Influence of system geometry on motion tracking in echocardiographic image sequences“. In 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI). IEEE, 2009. http://dx.doi.org/10.1109/isbi.2009.5193261.
Der volle Inhalt der QuelleLeung, K. Y. Esther, Mikhail G. Danilouchkine, Marijn van Stralen, Nico de Jong, Antonius F. W. van der Steen und Johan G. Bosch. „Tracking left ventricular borders in 3D echocardiographic sequences using motion-guided optical flow“. In SPIE Medical Imaging, herausgegeben von Josien P. W. Pluim und Benoit M. Dawant. SPIE, 2009. http://dx.doi.org/10.1117/12.810990.
Der volle Inhalt der QuelleDietenbeck, T., D. Barbosa, M. Alessandrini, R. Jasaityte, V. Robesyn, J. D'hooge, D. Friboulet und O. Bernard. „Multiview myocardial tracking in echocardiographic 2D sequences using shape and motion constrained level-set“. In 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013). IEEE, 2013. http://dx.doi.org/10.1109/isbi.2013.6556651.
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