Deep learning-based automatic delineation of the hippocampus by MRI: geometric and dosimetric evaluation.

Journal: Radiation oncology (London, England)
Published Date: Jan 14, 2021

Abstract

BACKGROUND: Whole brain radiotherapy (WBRT) can impair patients' cognitive function. Hippocampal avoidance during WBRT can potentially prevent this side effect. However, manually delineating the target area is time-consuming and difficult. Here, we proposed a credible approach of automatic hippocampal delineation based on convolutional neural networks.

Authors

  • Kaicheng Pan
    Department of Radiation Oncology, The Affiliated Hangzhou Hospital of Nanjing Medical University, Hangzhou, China.
  • Lei Zhao
    Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming, China.
  • Song Gu
    Department of Radiation Oncology, Hangzhou Yikang Chinese Medicine Oncology Hospital, Hangzhou, China.
  • Yi Tang
    Department of Nephrology, Institute of Nephrology, West China Hospital of Sichuan University, Chengdu, China.
  • Jiahao Wang
    Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, and Comprehensive Cancer Center, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Dr, Ann Arbor, MI, 48109, USA.
  • Wen Yu
    2 Department of Radiotherapy, Shanghai Chest Hospital, Shanghai Jiao Tong University , Shanghai , China.
  • Lucheng Zhu
    Department of Radiation Oncology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou Cancer Hospital, Hangzhou, China.
  • Qi Feng
    Panzhihua University, Panzhihua 617000, Sichuan, China.
  • Ruipeng Su
    Beijing Allcure Medical Technology Group Co., Ltd., Beijing, China.
  • Zhiyong Xu
  • Xiadong Li
    Department of Radiation Oncology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou Cancer Hospital, Hangzhou, China.
  • Zhongxiang Ding
  • Xiaolong Fu
    Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Shenglin Ma
    Department of Radiation Oncology, The Affiliated Hangzhou Hospital of Nanjing Medical University, Hangzhou, China.
  • Jun Yan
    Department of Statistics, University of Connecticut, Storrs, CT 06269, USA.
  • Shigong Kang
    Beijing Allcure Medical Technology Group Co., Ltd., Beijing, China.
  • Tao Zhou
    Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Bing Xia
    Department of Radiation Oncology, The Affiliated Hangzhou Hospital of Nanjing Medical University, Hangzhou, China. bingxia_hzch@163.com.

Keywords

External Resources

Popular Topics
Recent Journals