Detection of left ventricular wall motion abnormalities from volume rendering of 4DCT cardiac angiograms using deep learning

BACKGROUND: The presence of left ventricular (LV) wall motion abnormalities (WMA) is an independent indicator of adverse cardiovascular events in patients with cardiovascular diseases. We develop and evaluate the ability to detect cardiac wall motion abnormalities (WMA) from dynamic volume rendering...

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Detalles Bibliográficos
Autores principales: Chen, Zhennong, Contijoch, Francisco, Colvert, Gabrielle M., Manohar, Ashish, Kahn, Andrew M., Narayan, Hari K., McVeigh, Elliot
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366190/
https://www.ncbi.nlm.nih.gov/pubmed/35966529
http://dx.doi.org/10.3389/fcvm.2022.919751

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366190/
https://www.ncbi.nlm.nih.gov/pubmed/35966529
http://dx.doi.org/10.3389/fcvm.2022.919751

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