2D/3D registration based on biplanar X-ray and CT images for surgical navigation

IF 4.9 2区 医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

Abstract

Background and Objectives:

Image-based 2D/3D registration is a crucial technology for fluoroscopy-guided surgical interventions. However, traditional registration methods relying on a single X-ray image into surgical navigation systems. This study proposes a novel 2D/3D registration approach utilizing biplanar X-ray images combined with computed tomography (CT) to significantly reduce registration and navigation errors. The method is successfully implemented in a surgical navigation system, enhancing its precision and reliability.

Methods:

First, we simultaneously register the frontal and lateral X-ray images with the CT image, enabling mutual complementation and more precise localization. Additionally, we introduce a novel similarity measure for image comparison, providing a more robust cost function for the optimization algorithm. Furthermore, a multi-resolution strategy is employed to enhance registration efficiency. Lastly, we propose a more accurate coordinate transformation method, based on projection and 3D reconstruction, to improve the precision of surgical navigation systems.Results: We conducted registration and navigation experiments using pelvic, spinal, and femur phantoms. The navigation results demonstrated that the feature registration errors (FREs) in the three experiments were 0.505±0.063 mm, 0.515±0.055 mm, and 0.577±0.056 mm, respectively. Compared to the point-to-point (PTP) registration method based on anatomical landmarks, our method reduced registration errors by 31.3%, 23.9%, and 26.3%, respectively.

Conclusion:

The results demonstrate that our method significantly reduces registration and navigation errors, highlighting its potential for application across various anatomical sites. Our code is available at: https://github.com/SJTUdemon/2D-3D-Registration
基于双平面 X 光和 CT 图像的 2D/3D 配准,用于手术导航
背景和目的:基于图像的二维/三维配准是荧光屏引导手术干预的关键技术。然而,传统的配准方法依赖于手术导航系统中的单一 X 射线图像。本研究提出了一种新型 2D/3D 配准方法,利用双平面 X 光图像与计算机断层扫描(CT)相结合,显著减少配准和导航误差。方法:首先,我们将正面和侧面的 X 光图像与 CT 图像同时配准,从而实现互补和更精确的定位。此外,我们还引入了一种用于图像对比的新型相似度测量方法,为优化算法提供了更稳健的成本函数。此外,我们还采用了多分辨率策略来提高配准效率。最后,我们提出了一种基于投影和三维重建的更精确坐标转换方法,以提高手术导航系统的精度:我们使用骨盆、脊柱和股骨模型进行了配准和导航实验。导航结果表明,三次实验中的特征配准误差(FREs)分别为 0.505±0.063 mm、0.515±0.055 mm 和 0.577±0.056 mm。与基于解剖地标的点对点(PTP)配准方法相比,我们的方法分别减少了 31.3%、23.9% 和 26.3% 的配准误差。我们的代码可在以下网址获取: https://github.com/SJTUdemon/2D-3D-Registration
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computer methods and programs in biomedicine
Computer methods and programs in biomedicine 工程技术-工程:生物医学
CiteScore
12.30
自引率
6.60%
发文量
601
审稿时长
135 days
期刊介绍: To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.
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