Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT.

Journal: Korean journal of radiology
Published Date:

Abstract

OBJECTIVE: The purpose of this study was to assess whether a deep learning (DL) algorithm could enable simultaneous noise reduction and edge sharpening in low-dose lumbar spine CT.

Authors

  • Hyunjung Yeoh
    Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Sung Hwan Hong
    Department of Radiology, Seoul National University College of Medicine, Seoul, Korea. drhong@snu.ac.kr.
  • Chulkyun Ahn
    Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.
  • Ja-Young Choi
    Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Hee-Dong Chae
    Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Hye Jin Yoo
    Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Jong Hyo Kim
    Interdisciplinary Program of Radiation Applied Life Science, Seoul National University College of Medicine.