75% radiation dose reduction using deep learning reconstruction on low-dose chest CT

75% radiation dose reduction using deep learning reconstruction on low-dose chest CT

Abstract Objective Few studies have explored the clinical feasibility of using deep-learning reconstruction to reduce the radiation dose of CT. We aimed to compare the image quality and lung nodule detectability between chest CT using a quarter of the low dose (QLD) reconstructed with vendor-agnosti...

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Bibliographic Details
Main Authors: Gyeong Deok Jo, Chulkyun Ahn, Jung Hee Hong, Da Som Kim, Jongsoo Park, Hyungjin Kim, Jong Hyo Kim, Jin Mo Goo, Ju Gang Nam
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Medical Imaging
Subjects:
Artificial intelligence
Deep-learning image reconstruction
Noise reduction
Low-dose chest CT
Nodule detection
Online Access:https://doi.org/10.1186/s12880-023-01081-8

Internet

https://doi.org/10.1186/s12880-023-01081-8

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