Anatomically informed deep learning on contrast-enhanced cardiac magnetic resonance imaging for scar segmentation and clinical feature extraction

BACKGROUND: Visualizing fibrosis on cardiac magnetic resonance (CMR) imaging with contrast enhancement (late gadolinium enhancement; LGE) is paramount in characterizing disease progression and identifying arrhythmia substrates. Segmentation and fibrosis quantification from LGE-CMR is intensive, manu...

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Detalles Bibliográficos
Autores principales: Popescu, Dan M., Abramson, Haley G., Yu, Rebecca, Lai, Changxin, Shade, Julie K., Wu, Katherine C., Maggioni, Mauro, Trayanova, Natalia A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890075/
https://www.ncbi.nlm.nih.gov/pubmed/35265930
http://dx.doi.org/10.1016/j.cvdhj.2021.11.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890075/
https://www.ncbi.nlm.nih.gov/pubmed/35265930
http://dx.doi.org/10.1016/j.cvdhj.2021.11.007

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