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Comparative Analysis of Tagging and Feature-Tracking Cardiac MRI Techniques for the Evaluation of Cardiac Deformation

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Comparative Analysis of Tagging and Feature-Tracking Cardiac MRI Techniques for the Evaluation of Cardiac Deformation

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Tejero-Cervera, P.; Del-Canto, I.; López-Lereu, MP.; Monmeneu, JV.; Ruiz-España, S.; Santabárbara, JM.; Maceira, A.... (2020). Comparative Analysis of Tagging and Feature-Tracking Cardiac MRI Techniques for the Evaluation of Cardiac Deformation. IEEE Computer Society. 1054-1059. https://doi.org/10.1109/BIBE50027.2020.00178

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/179802

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Title: Comparative Analysis of Tagging and Feature-Tracking Cardiac MRI Techniques for the Evaluation of Cardiac Deformation
Author: Tejero-Cervera, Pascual Del-Canto, Irene López-Lereu, María P. Monmeneu, Jose V. Ruiz-España, Silvia Santabárbara, José Manuel Maceira, Alicia Bodi, Vicente Moratal, David
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Centro de Biomateriales e Ingeniería Tisular - Centre de Biomaterials i Enginyeria Tissular
Issued date:
Abstract:
[EN] Currently, there is a high prevalence of cardiovascular diseases, being the leading cause of mortality worldwide. Thus, a rapid and effective evaluation of the heart is increasingly relevant to diagnose the patient ...[+]
Subjects: CMR feature-tracking , CMR tissue tagging , Inter-technique agreement , Inter-observer agreement , Reproducibility , Circumferential strain , Torsion
Copyrigths: Cerrado
ISBN: 978-1-7281-9574-2
Source:
Proceedings. IEEE 20th International Conference on Bioinformatics and Bioengineering. BIBE 2020. (issn: 2471-7819 )
DOI: 10.1109/BIBE50027.2020.00178
Publisher:
IEEE Computer Society
Publisher version: https://doi.org/10.1109/BIBE50027.2020.00178
Conference name: IEEE 20th International Conference on BioInformatics and BioEngineering (BIBE 2020)
Conference place: Online
Conference date: Octubre 26-28,2020
Project ID:
info:eu-repo/grantAgreement/MCIU//CIIP-20192020/
info:eu-repo/grantAgreement/AVI//INNCAD00%2F19%2F085//Proyecto 4DTools: nuevas técnicas y biomarcadores para diagnóstico-pronóstico de patologías de la aorta ascendente a través de técnicas de imagen médica/
info:eu-repo/grantAgreement/GVA//AEST%2F2019%2F037/
info:eu-repo/grantAgreement/GVA//AEST%2F2020%2F029//Aplicación de técnicas de deep learning (aprendizaje profundo) para un análisis automático de imágenes de Resonancia/
Thanks:
DM acknowledges financial support from the Conselleria d'Educacio, Investigacio, Cultura i Esport, Generalitat Valenciana (grants AEST/2019/037 and AEST/2020/029), from the Agencia Valenciana de la Innovacion, Generalitat ...[+]
Type: Comunicación en congreso Artículo Capítulo de libro

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