Correcting bias in cardiac geometries derived from multimodal images using spatiotemporal mapping

Cardiovascular imaging studies provide a multitude of structural and functional data to better understand disease mechanisms. While pooling data across studies enables more powerful and broader applications, performing quantitative comparisons across datasets with varying acquisition or analysis met...

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Detalles Bibliográficos
Autores principales: Zhao, Debbie, Mauger, Charlène A., Gilbert, Kathleen, Wang, Vicky Y., Quill, Gina M., Sutton, Timothy M., Lowe, Boris S., Legget, Malcolm E., Ruygrok, Peter N., Doughty, Robert N., Pedrosa, João, D’hooge, Jan, Young, Alistair A., Nash, Martyn P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199025/
https://www.ncbi.nlm.nih.gov/pubmed/37208380
http://dx.doi.org/10.1038/s41598-023-33968-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199025/
https://www.ncbi.nlm.nih.gov/pubmed/37208380
http://dx.doi.org/10.1038/s41598-023-33968-5

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