Magnetic Resonance Parameter Mapping using Self-supervised Deep Learning with Model Reinforcement

This paper proposes a novel self-supervised learning method, RELAX-MORE, for quantitative MRI (qMRI) reconstruction. The proposed method uses an optimization algorithm to unroll a model-based qMRI reconstruction into a deep learning framework, enabling the generation of highly accurate and robust MR...

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Detalles Bibliográficos
Autores principales: Bian, Wanyu, Jang, Albert, Liu, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402181/
https://www.ncbi.nlm.nih.gov/pubmed/37547657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402181/
https://www.ncbi.nlm.nih.gov/pubmed/37547657

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