Optical bone densitometry robust to variation of soft tissue using machine learning techniques: validation by Monte Carlo simulation.

Journal: Journal of biomedical optics
Published Date: May 1, 2022

Abstract

SIGNIFICANCE: To achieve early detection of osteoporosis, a simple bone densitometry method using optics was proposed. However, individual differences in soft tissue structure and optical properties can cause errors in quantitative bone densitometry. Therefore, developing optical bone densitometry that is robust to soft tissue variations is important for the early detection of osteoporosis.

Authors

  • Kaname Miura
    Kanazawa University, Graduate School of Natural Science and Technology, Division of Mechanical Scien, Japan.
  • Anak Khantachawana
    King Mongkut's University of Technology Thonburi, Department of Mechanical Engineering, Faculty of E, Thailand.
  • Shigeo M Tanaka
    Kanazawa University, Institute of Science and Engineering, Faculty of Frontier Engineering, Kanazawa, Japan.

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