Assessment of low-dose paranasal sinus CT imaging using a new deep learning image reconstruction technique in children compared to adaptive statistical iterative reconstruction V (ASiR-V).

Journal: BMC medical imaging
PMID:

Abstract

PURPOSE: To compare the effects of deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction V (ASiR-V) on image quality in low-dose computed tomography (CT) of paranasal sinuses in children.

Authors

  • Yang Li
    Occupation of Chinese Center for Disease Control and Prevention, Beijing, China.
  • Xia Liu
    Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Science, Haikou 571010, People's Republic of China; Key Laboratory of Monitoring and Control of Tropical Agricultural and Forest Invasive Alien Pests, Ministry of Agriculture, Haikou 571010, People's Republic of China.
  • Xun-Hui Zhuang
    Department of Radiology, Qingdao University Affiliated Women and Children's Hospital, 6 Tongfu Road, Qingdao, Shandong, 266034, China.
  • Ming-Jun Wang
    GE Healthcare (Shanghai) Co., Ltd., Shanghai, 201203, China.
  • Xiu-Feng Song
    Department of Radiology, Qingdao University Affiliated Women and Children's Hospital, 6 Tongfu Road, Qingdao, Shandong, 266034, China. song-sxf@163.com.