Bayesian reconstruction of magnetic resonance images using Gaussian processes

A central goal of modern magnetic resonance imaging (MRI) is to reduce the time required to produce high-quality images. Efforts have included hardware and software innovations such as parallel imaging, compressed sensing, and deep learning-based reconstruction. Here, we propose and demonstrate a Ba...

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Detalles Bibliográficos
Autores principales: Xu, Yihong, Farris, Chad W., Anderson, Stephan W., Zhang, Xin, Brown, Keith A.
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/PMC10397278/
https://www.ncbi.nlm.nih.gov/pubmed/37532743
http://dx.doi.org/10.1038/s41598-023-39533-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397278/
https://www.ncbi.nlm.nih.gov/pubmed/37532743
http://dx.doi.org/10.1038/s41598-023-39533-4

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