Deep learning estimation of three-dimensional left atrial shape from two-chamber and four-chamber cardiac long axis views

AIMS: Left atrial volume is commonly estimated using the bi-plane area-length method from two-chamber (2CH) and four-chamber (4CH) long axes views. However, this can be inaccurate due to a violation of geometric assumptions. We aimed to develop a deep learning neural network to infer 3D left atrial...

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Detalles Bibliográficos
Autores principales: Xu, Hao, Williams, Steven E, Williams, Michelle C, Newby, David E, Taylor, Jonathan, Neji, Radhouene, Kunze, Karl P, Niederer, Steven A, Young, Alistair A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125223/
https://www.ncbi.nlm.nih.gov/pubmed/36725705
http://dx.doi.org/10.1093/ehjci/jead010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125223/
https://www.ncbi.nlm.nih.gov/pubmed/36725705
http://dx.doi.org/10.1093/ehjci/jead010

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