Bayesian reconstruction of magnetic resonance images using Gaussian processes
Bayesian reconstruction of magnetic resonance images using Gaussian processes
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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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 Bayesian method to build statistical libraries of ma...
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Bayesian reconstruction of magnetic resonance images using Gaussian processes
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TN_cdi_doaj_primary_oai_doaj_org_article_5d3f77676e864a2f97a43f65e7d4e79b
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5d3f77676e864a2f97a43f65e7d4e79b
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-39533-4
