Deep learning-based reconstruction improves the image quality of low-dose CT enterography in patients with inflammatory bowel disease.

Journal: Abdominal radiology (New York)
Published Date: Sep 21, 2024

Abstract

PURPOSE: Lifelong re-examination of CT enterography (CTE) in patients with inflammatory bowel disease (IBD) may be necessary, and reducing radiation exposure during CT examinations is crucial. We investigated the potential application of deep learning reconstruction (DLR) in CTE to reduce radiation dose and improve image quality in IBD.

Authors

  • Weitao He
    Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, Guangdong, People's Republic of China.
  • Ping Xu
    Department of Pharmacy, the Second Xiangya Hospital, Central South University, NO139, Renmin Road, Changsha, Hunan 410011, China.
  • Mengchen Zhang
    Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
  • Rulin Xu
    Research Collaboration, Canon Medical Systems, Guangzhou, Guangdong, China.
  • Xiaodi Shen
    Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
  • Ren Mao
    Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Xue-Hua Li
    First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Can-Hui Sun
    First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. sunch@mail.sysu.edu.cn.
  • Ruo-Nan Zhang
    First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. zhangrn25@mail2.sysu.edu.cn.
  • Shaochun Lin
    First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. lshchun@mail.sysu.edu.cn.

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