Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT

OBJECTIVE: To compare a deep learning-based reconstruction (DLR) algorithm for pediatric abdominopelvic computed tomography (CT) with filtered back projection (FBP) and iterative reconstruction (IR) algorithms. MATERIALS AND METHODS: Post-contrast abdominopelvic CT scans obtained from 120 pediatric...

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Detalles Bibliográficos
Autores principales: Son, Wookon, Kim, MinWoo, Hwang, Jae-Yeon, Kim, Yong-Woo, Park, Chankue, Choo, Ki Seok, Kim, Tae Un, Jang, Joo Yeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2022
Materias:
Pediatric Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240291/
https://www.ncbi.nlm.nih.gov/pubmed/35695313
http://dx.doi.org/10.3348/kjr.2021.0466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240291/
https://www.ncbi.nlm.nih.gov/pubmed/35695313
http://dx.doi.org/10.3348/kjr.2021.0466

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