The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis

OBJECTIVE: To determine the difference in CT values and image quality of abdominal CT images reconstructed by filtered back-projection (FBP), hybrid iterative reconstruction (IR), and deep learning reconstruction (DLR). METHODS: PubMed and Embase were systematically searched for articles regarding C...

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Detalles Bibliográficos
Autores principales: van Stiphout, J. Abel, Driessen, Jan, Koetzier, Lennart R., Ruules, Lara B., Willemink, Martin J., Heemskerk, Jan W. T., van der Molen, Aart J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Computed Tomography
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038933/
https://www.ncbi.nlm.nih.gov/pubmed/34913104
http://dx.doi.org/10.1007/s00330-021-08438-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038933/
https://www.ncbi.nlm.nih.gov/pubmed/34913104
http://dx.doi.org/10.1007/s00330-021-08438-z

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