A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results

This study aimed to compare the performance of deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction-Veo (ASIR-V) in improving image quality and diagnostic performance using virtual monochromatic spectral images in abdominal dual-energy computed tomography (DECT...

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Detalles Bibliográficos
Autores principales: Chu, Bingqian, Gan, Lu, Shen, Yi, Song, Jian, Liu, Ling, Li, Jianying, Liu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584787/
https://www.ncbi.nlm.nih.gov/pubmed/37580484
http://dx.doi.org/10.1007/s10278-023-00893-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584787/
https://www.ncbi.nlm.nih.gov/pubmed/37580484
http://dx.doi.org/10.1007/s10278-023-00893-y

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