Three-dimensional spine reconstruction from biplane radiographs using convolutional neural networks.

Journal: Medical engineering & physics

Published Date: Dec 12, 2023

Abstract

PURPOSE: The purpose of this study was to develop and evaluate a deep learning network for three-dimensional reconstruction of the spine from biplanar radiographs.

Authors

Bo Li

Electric Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming, Yunnan, China.
Junhua Zhang

Evidence-based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Qian Wang

Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.
Hongjian Li

Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China.
Qiyang Wang

The First People's Hospital of Yunnan Province, China.

Keywords

Image Processing, Computer-Assisted Imaging, Three-Dimensional Neural Networks, Computer Plastic Surgery Procedures Spine

External Resources

View on PubMed Access via DOI PubMed (38365341)

Three-dimensional spine reconstruction from biplane radiographs using convolutional neural networks.

Abstract

Authors

Keywords

External Resources

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