Bayesian Reconstruction Algorithms for Low-Dose Computed Tomography Are Not Yet Suitable in Clinical Context

Computed tomography (CT) is a widely used examination technique that usually requires a compromise between image quality and radiation exposure. Reconstruction algorithms aim to reduce radiation exposure while maintaining comparable image quality. Recently, unsupervised deep learning methods have be...

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Detalles Bibliográficos
Autores principales: Kniep, Inga, Mieling, Robin, Gerling, Moritz, Schlaefer, Alexander, Heinemann, Axel, Ondruschka, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Project Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532172/
https://www.ncbi.nlm.nih.gov/pubmed/37754934
http://dx.doi.org/10.3390/jimaging9090170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532172/
https://www.ncbi.nlm.nih.gov/pubmed/37754934
http://dx.doi.org/10.3390/jimaging9090170

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