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

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

Abstract 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 ana...

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Bibliographic Details
Main Authors: Debbie Zhao, Charlène A. Mauger, Kathleen Gilbert, Vicky Y. Wang, Gina M. Quill, Timothy M. Sutton, Boris S. Lowe, Malcolm E. Legget, Peter N. Ruygrok, Robert N. Doughty, João Pedrosa, Jan D’hooge, Alistair A. Young, Martyn P. Nash
Format: Article
Language:English
Published: Nature Portfolio 2023-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-33968-5

Internet

https://doi.org/10.1038/s41598-023-33968-5

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