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Prediction of trabecular bone architectural features by deep learning models using simulated DXA images

Pengwei Xiao1, Tinghe Zhang2, Xuanliang Neil Dong3

  • 1Mechanical Engineering, University of Texas at San Antonio, United States of America.

Bone Reports
|July 23, 2020
PubMed
Summary

Deep learning models can predict trabecular bone microstructural features from dual-energy X-ray absorptiometry (DXA) images. This breakthrough may improve osteoporosis fracture risk prediction using existing DXA scans.

Keywords:
DXADeep learningHistomorphometric parametersTrabecular bone microarchitecture

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