Korean Journal of Artificial Intelligence (한국인공지능학회지)

Korea Artificial Intelligence Association (한국인공지능학회)
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Evaluation of Adult Lung CT Image for Ultra-Low-Dose CT Using Deep Learning Based Reconstruction

  • JO, Jun-Ho (Department of Radiological Science, Eulji University) ;
  • MIN, Hyo-June (Department of Radiological Science, Eulji University) ;
  • JEON, Kwang-Ho (Department of Radiological Science, Eulji University) ;
  • KIM, Yu-Jin (Department of Radiological Science, Eulji University) ;
  • LEE, Sang-Hyeok (Department of Radiological Science, Eulji University) ;
  • KIM, Mi-Sung (Department of Radiological Science, Eulji University) ;
  • JEON, Pil-Hyun (Department of Radiology, Wonju Severance Christian Hospital) ;
  • KIM, Daehong (Department of Radiological Science, Eulji University) ;
  • BAEK, Cheol-Ha (Department of Radiological Science, Kangwon National University) ;
  • LEE, Hakjae (ARALE laboratory Inc.)
  • Received : 2021.08.31
  • Accepted : 2021.12.05
  • Published : 2021.12.30
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Abstract

Although CT has an advantage in describing the three-dimensional anatomical structure of the human body, it also has a disadvantage in that high doses are exposed to the patient. Recently, a deep learning-based image reconstruction method has been used to reduce patient dose. The purpose of this study is to analyze the dose reduction and image quality improvement of deep learning-based reconstruction (DLR) on the adult's chest CT examination. Adult lung phantom was used for image acquisition and analysis. Lung phantom was scanned at ultra-low-dose (ULD), low-dose (LD), and standard dose (SD) modes, and images were reconstructed using FBP (Filtered back projection), IR (Iterative reconstruction), DLR (Deep learning reconstruction) algorithms. Image quality variations with respect to varying imaging doses were evaluated using noise and SNR. At ULD mode, the noise of the DLR image was reduced by 62.42% compared to the FBP image, and at SD mode, the SNR of the DLR image was increased by 159.60% compared to the SNR of the FBP image. Based on this study, it is anticipated that the DLR will not only substantially reduce the chest CT dose but also drastic improvement of the image quality.

Keywords

Acknowledgement

This Work was Supported by Eulji University in 2021.

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