An artificial-intelligence-based age-specific template construction framework for brain structural analysis using magnetic resonance images.

Journal: Human brain mapping
Published Date: Oct 21, 2022

Abstract

It is an essential task to construct brain templates and analyze their anatomical structures in neurological and cognitive science. Generally, templates constructed from magnetic resonance imaging (MRI) of a group of subjects can provide a standard reference space for analyzing the structural and functional characteristics of the group. With recent development of artificial intelligence (AI) techniques, it is desirable to explore AI registration methods for quantifying age-specific brain variations and tendencies across different ages. In this article, we present an AI-based age-specific template construction (called ASTC) framework for longitudinal structural brain analysis using T1-weighted MRIs of 646 subjects from 18 to 82 years old collected from four medical centers. Altogether, 13 longitudinal templates were constructed at a 5-year age interval using ASTC, and tissue segmentation and substructure parcellation were performed for analysis across different age groups. The results indicated consistent changes in brain structures along with aging and demonstrated the capability of ASTC for longitudinal neuroimaging study.

Authors

  • Dongdong Gu
    Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Feng Shi
    Department of Research and Development, Shanghai United Imaging Intelligence, Co., Ltd. Shanghai, China.
  • Rui Hua
    Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Ying Wei
    School of Information Science and Engineering, Northeastern University, Shenyang 110004, China ; Key Laboratory of Medical Imaging Calculation of the Ministry of Education, Shenyang 110004, China.
  • Yufei Li
    National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China.
  • Jiayu Zhu
    Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China.
  • Weijun Zhang
    Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China.
  • Han Zhang
    Johns Hopkins University, Baltimore, MD, USA.
  • Qing Yang
    School of Nursing, Chengdu Medical College, Chengdu, China.
  • Peiyu Huang
    Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Yi Jiang
    Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou 325035, China.
  • Bin Bo
    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Yao Li
    Center of Robotics and Intelligent Machine, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, No. 266 Fangzhen Road, Beibei District, Chongqing, 400714, China.
  • Yaoyu Zhang
    School of Mathematical Sciences, Institute of Natural Sciences, MOE-LSC and Qing Yuan Research Institute, Shanghai Jiao Tong University, Shanghai, 200240, China. zhyy.sjtu@sjtu.edu.cn.
  • Minming Zhang
    Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China. zhangminming@zju.edu.cn.
  • Jinsong Wu
    Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
  • Hongcheng Shi
    Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Siwei Liu
    Department of Radiation Oncology, Peking University First Hospital, Beijing, China.
  • Qiang He
    College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu 610065, China.
  • Qiang Zhang
    Yunan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
  • Xu Zhang
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Hongjiang Wei
    Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. Electronic address: hongjiang.wei@sjtu.edu.cn.
  • Guocai Liu
    College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China.
  • Zhong Xue
    Shanghai United Imaging Intelligence Co Ltd., Shanghai, China.
  • Dinggang Shen
    School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.

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