A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images.

Journal: BMC medical imaging
PMID:

Abstract

BACKGROUND: The adrenal glands are small retroperitoneal organs, few reference standards exist for adrenal CT measurements in clinical practice. This study aims to develop a deep learning (DL) model for automated adrenal gland segmentation on non-contrast CT images, and to conduct a preliminary large-scale study on age-related volume changes in normal adrenal glands using the model output values.

Authors

  • Fanxing Meng
    Department of Radiology, Central China Subcenter of National Center for Cardiovascular Diseases, Fuwai Central-China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, 450046, China.
  • Tuo Zhang
    Weill Cornell Medical College, 1300 York Avenue, New York, New York, 10065.
  • Yukun Pan
    Department of Radiology, Central China Subcenter of National Center for Cardiovascular Diseases, Fuwai Central-China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, 450046, China.
  • Xiaojing Kan
    Department of Radiology, Central China Subcenter of National Center for Cardiovascular Diseases, Fuwai Central-China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, 450046, China.
  • Yuwei Xia
    Department of Research and Development, Shanghai United Imaging Intelligence, Co., Ltd. Shanghai, China.
  • Mengyuan Xu
    Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, China.
  • Jin Cai
    Department of Radiology, Central China Subcenter of National Center for Cardiovascular Diseases, Fuwai Central-China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, 450046, China.
  • Fangbin Liu
    Department of Radiology, Central China Subcenter of National Center for Cardiovascular Diseases, Fuwai Central-China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, 450046, China.
  • Yinghui Ge
    Radiology Department, Central China Fuwai Hospital, Fuwai Avenue 1, Zhengzhou 450046, China.