Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction

Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction

<i>Background and Objectives</i>: Although reducing the radiation dose level is important during diagnostic computed tomography (CT) applications, effective image quality enhancement strategies are crucial to compensate for the degradation that is caused by a dose reduction. We performed...

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Bibliographic Details
Main Authors: Jeong-A Yeom, Ki-Uk Kim, Minhee Hwang, Ji-Won Lee, Kun-Il Kim, You-Seon Song, In-Sook Lee, Yeon-Joo Jeong
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Medicina
Subjects:
emphysema
low dose CT
quantitative analysis
deep learning
Online Access:https://www.mdpi.com/1648-9144/58/7/939

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https://www.mdpi.com/1648-9144/58/7/939

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