Evaluation of convolutional neural networks for the detection of inter-breath-hold motion from a stack of cardiac short axis slice images

PURPOSE: This study aimed to develop and validate a deep learning-based method that detects inter-breath-hold motion from an estimated cardiac long axis image reconstructed from a stack of short axis cardiac cine images. METHODS: Cardiac cine magnetic resonance image data from all short axis slices...

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Detalles Bibliográficos
Autores principales: Kim, Yoon-Chul, Kim, Min Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463654/
https://www.ncbi.nlm.nih.gov/pubmed/37620849
http://dx.doi.org/10.1186/s12880-023-01070-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463654/
https://www.ncbi.nlm.nih.gov/pubmed/37620849
http://dx.doi.org/10.1186/s12880-023-01070-x

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