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

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

Dual-energy X-ray absorptiometry (DXA) is widely used for clinical assessment of bone mineral density (BMD). Recent evidence shows that DXA images may also contain microstructural information of trabecular bones. However, no current image processing techniques could aptly extract the information. In...

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Bibliographic Details
Main Authors: Pengwei Xiao, Tinghe Zhang, Xuanliang Neil Dong, Yan Han, Yufei Huang, Xiaodu Wang
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Bone Reports
Subjects:
Trabecular bone microarchitecture
Deep learning
DXA
Histomorphometric parameters
Online Access:http://www.sciencedirect.com/science/article/pii/S2352187220300553

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http://www.sciencedirect.com/science/article/pii/S2352187220300553

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