用于增强现实脊柱手术导航系统的基于 2D-3D 注册的空间注册方法。

IF 2.3 3区医学 Q2 SURGERY

International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2023-12-19 DOI:10.1002/rcs.2612

Jingqi Zhang, Zhiyong Yang, Shan Jiang, Zeyang Zhou

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引用次数: 0

摘要

背景：为了给增强现实（AR）脊柱手术导航提供准确可靠的图像引导，有人提出了一种空间配准方法：方法：在增强现实脊柱手术导航系统中，采用基于灰度的二维/三维配准技术，将术前计算机断层扫描图像与术中X光图像进行配准，完成空间配准，然后实现虚拟图像与真实脊柱的融合：结果：在图像配准实验中，脊柱模型配准的成功率为 90%。在脊柱模型验证实验中，脊柱模型的表面配准误差在 0.361 至 0.612 毫米之间，总平均表面配准误差为 0.501 毫米：结论：基于二维/三维配准技术的空间配准方法可用于 AR 脊柱手术导航系统，具有高精度和微创的特点。

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A spatial registration method based on 2D–3D registration for an augmented reality spinal surgery navigation system

Background

In order to provide accurate and reliable image guidance for augmented reality (AR) spinal surgery navigation, a spatial registration method has been proposed.

Methods

In the AR spinal surgery navigation system, grayscale-based 2D/3D registration technology has been used to register preoperative computed tomography images with intraoperative X-ray images to complete the spatial registration, and then the fusion of virtual image and real spine has been realised.

Results

In the image registration experiment, the success rate of spine model registration was 90%. In the spinal model verification experiment, the surface registration error of the spinal model ranged from 0.361 to 0.612 mm, and the total average surface registration error was 0.501 mm.

Conclusion

The spatial registration method based on 2D/3D registration technology can be used in AR spinal surgery navigation systems and is highly accurate and minimally invasive.

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

CiteScore

4.50

自引率

12.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.