ArticleInternational journal of computer assisted radiology and surgery2019
A comparative analysis of intensity-based 2D-3D registration for intraoperative use in pedicle screw insertion surgeries.
Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Isometric points in cerclage for patellar tendon repair: a 3-dimensional, weightbearing computed tomography kinematic simulation.Archives of orthopaedic and trauma surgery · 2026Article
- Feature-based multimodal 3D/2D and 3D/3D registration framework for pedicle screw registration and evaluation.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Increased femoral curvature and trochlea flexion in high-grade patellofemoral dysplastic knees.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023Article
- The winking sign is an indicator for increased femorotibial rotation in patients with recurrent patellar instability.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022Article
- X23D-Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray Data.Journal of imaging · 2022Article
- Assessing the accuracy of a new 3D2D registration algorithm based on a non-invasive skin marker model for navigated spine surgery.International journal of computer assisted radiology and surgery · 2022Article
- A Hybrid 3D-2D Image Registration Framework for Pedicle Screw Trajectory Registration between Intraoperative X-ray Image and Preoperative CT Image.Journal of imaging · 2022Article
- Elongation Patterns of the Superficial Medial Collateral Ligament and the Posterior Oblique Ligament: A 3-Dimensional, Weightbearing Computed Tomography Simulation.Orthopaedic journal of sports medicine · 2022Article
- SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D Data.Journal of imaging · 2021Article
- Optimization of virtual and real registration technology based on augmented reality in a surgical navigation system.Biomedical engineering online · 2020Article
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Authors and funding
6 authors.
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Abstract
purposeAlthough multiple algorithms have been reported that focus on improving the accuracy of 2D-3D registration techniques, there has been relatively little attention paid to quantifying their capture range. In this paper, we analyze the capture range for a number of variant formulations of the 2D-3D registration problem in the context of pedicle screw insertion surgery.
methodsWe tested twelve 2D-3D registration techniques for capture range under different clinically realistic conditions. A registration was considered as successful if its error was less than 2 mm and 2° in 95% of the cases. We assessed the sensitivity of capture range to a variety of clinically realistic parameters including: X-ray contrast, number and configuration of X-rays, presence or absence of implants in the image, inter-subject variability, intervertebral motion and single-level vs multi-level registration.
resultsGradient correlation + Powell optimizer had the widest capture range and the least sensitivity to X-ray contrast. The combination of 4 AP + lateral X-rays had the widest capture range (725 mm
conclusionsThis paper assessed capture range of a number of variants of intensity-based 2D-3D registration algorithms in clinically realistic situations (for the use in pedicle screw insertion surgery). We conclude that a registration approach based on the gradient correlation similarity and the Powell's optimization algorithm, using a minimum of two C-arm images, is likely sufficiently robust for the proposed application.
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