Prediction of Bone Mineral Density based on Computer Tomography Images Using Deep Learning Model.

Journal: Gerontology
PMID: 39527924

Abstract

INTRODUCTION: The problem of population aging is intensifying worldwide. Osteoporosis has become an important cause affecting the health status of older populations. However, the diagnosis of osteoporosis and people's understanding of it are seriously insufficient. We aim to develop a deep learning model to automatically measure bone mineral density (BMD) and improve the diagnostic rate of osteoporosis.

Authors

  • Jujia Li
    Medical Imaging Department, Hebei Medical University Third Hospital, Shijiazhuang, China, 1203460713@qq.com.
  • Ping Zhang
    Department of Computer Science and Engineering, The Ohio State University, USA.
  • Jingxu Xu
    Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Ranxu Zhang
    Medical Imaging Department, Hebei Medical University Third Hospital, Shijiazhuang, China.
  • Congcong Ren
    Medical Imaging Department, Hebei Medical University Third Hospital, Shijiazhuang, China.
  • Fan Yang
    School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China.
  • Qian Li
    Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.
  • Yanhong Dong
    Medical Imaging Department, Hebei Medical University Third Hospital, Shijiazhuang, China.
  • Chencui Huang
    Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Jian Zhao
    Key Laboratory of Intelligent Rehabilitation and Barrier-Free for the Disabled (Changchun University), Ministry of Education, Changchun University, Changchun 130012, China.

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