Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study

Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study

Background and purposeTo investigate the image quality and accurate bone mineral density (BMD) on quantitative CT (QCT) for osteoporosis screening by deep-learning image reconstruction (DLIR) based on a multi-phantom and patient study.Materials and methodsHigh-contrast spatial resolution, low-contra...

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Bibliographic Details
Main Authors: Yali Li, Yaojun Jiang, Xi Yu, Binbin Ren, Chunyu Wang, Sihui Chen, Duoshan Ma, Danyang Su, Huilong Liu, Xiangyang Ren, Xiaopeng Yang, Jianbo Gao, Yan Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Endocrinology
Subjects:
bone mineral density
osteoporosis
deep learning iterative reconstruction
Catphan 500
European Spine Phantom
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.884306/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.884306/full

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