Registration of 2D X-ray and 3D CT Images for Robot-Assisted Pelvic Fracture Reduction Surgery

Minimally invasive pelvic fracture reduction surgery (PFRS) is one of the most challenging procedures in trauma orthopedics, in which accurate navigation is pivotal to surgical success. This paper introduces a two-stage 2D-3D registration algorithm, encompassing coarse registration and multi-view refinement module, to accurately predict the fragment's pose. Based on the 2D-3D registration algorithm, a navigation system for real-time fragment tracking is established and deployed in a master-slave pelvic fracture reduction robot system. Validation on a publicly available dataset demonstrates the algorithm achieves an average registration accuracy of 0.56 mm, with a processing time of 4.6 s, and a navigation error of 1.47 mm on a pelvic model. In vitro simulated experiments yield an average reduction accuracy of 2.58 mm and 2.33°, rated as Excellent according to clinically used criteria. These findings substantiate the superiority of the proposed algorithm and navigation system, providing intraoperative guidance for pelvic fracture reduction surgery.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/robio64047.2024.10907299
Citations
1
Primary Topic
Pelvic and Acetabular Injuries
Type
article
Field-Weighted Citation Impact
0.57

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article

Registration of 2D X-ray and 3D CT Images for Robot-Assisted Pelvic Fracture Reduction Surgery

Xiaozhi Qi, Bin Shi, Baoliang Zhao, Lihai Zhang et al.
1 citations
Pelvic and Acetabular Injuries
0.57
article

Registration of 2D X-ray and 3D CT Images for Robot-Assisted Pelvic Fracture Reduction Surgery

Xiaozhi Qi, Bin Shi, Baoliang Zhao, Lihai Zhang, Shaolin Lü, Peijie Jiang, Bing Li, Yuanyuan Yang, Ying Hu
article en
1 citations

Abstract

Minimally invasive pelvic fracture reduction surgery (PFRS) is one of the most challenging procedures in trauma orthopedics, in which accurate navigation is pivotal to surgical success. This paper introduces a two-stage 2D-3D registration algorithm, encompassing coarse registration and multi-view refinement module, to accurately predict the fragment's pose. Based on the 2D-3D registration algorithm, a navigation system for real-time fragment tracking is established and deployed in a master-slave pelvic fracture reduction robot system. Validation on a publicly available dataset demonstrates the algorithm achieves an average registration accuracy of 0.56 mm, with a processing time of 4.6 s, and a navigation error of 1.47 mm on a pelvic model. In vitro simulated experiments yield an average reduction accuracy of 2.58 mm and 2.33°, rated as Excellent according to clinically used criteria. These findings substantiate the superiority of the proposed algorithm and navigation system, providing intraoperative guidance for pelvic fracture reduction surgery.

Chinese Academy of Sciences (CN), Harbin Institute of Technology (CN), Chinese PLA General Hospital (CN), Shenzhen Institutes of Advanced Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Gender equality
Openalex Percentile: Top 26%
Pelvic and Acetabular Injuries
0.57
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Registration of 2D X-ray and 3D CT Images for Robot-Assisted Pelvic Fracture Reduction Surgery — Xiaozhi Qi, Bin Shi, et al. · (2024) | TGRS Research Map | TGRS