Efficient contact-based registration for minimally invasive anterior hip arthroplasty

IF 4.9 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Xianzhong Xie , Mingzhu Zhu , Weijian Chen , Jie Xu , Bingwei He
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引用次数: 0

Abstract

This paper introduces an efficient contact-based registration method for minimally invasive anterior hip arthroplasty. Unlike existing methods that involve radiation exposure, implanted screws, or tedious point collection, our method requires only one contact within the acetabulum and two contacts on the landmarks. Inspired by the probe’s ball tip, we define a unique position, named stable point, to decouple translation from the overall transformation. The stable point in patient space is easily acquired by our tool, simplifying translation estimation to compute the stable point in image space. We present a fast computation method based on dichotomic search. After aligning the stable points, we introduce two bone landmarks for rotation estimation in a center-aware manner. Additionally, a deltille grid position-sensing (DGPS) marker is used to improve instrument tracking robustness. Experiments were conducted to evaluate the performance of our methods, demonstrating an average accuracy of 0.16±0.03mm for instrument tracking and 1.41±0.16mm for registration. Moreover, the entire process takes less than 1 minute. Results suggest that our method has significant potential for clinical application.
微创前路髋关节置换术中基于接触的高效配准
介绍了一种有效的微创前路人工髋关节置换术中基于接触的配准方法。不像现有的方法涉及辐射暴露,植入螺钉,或繁琐的点收集,我们的方法只需要在髋臼内接触一次,在地标上接触两次。受探针球形尖端的启发,我们定义了一个独特的位置,称为稳定点,以将平移与整体变换分离开来。该工具易于获取患者空间中的稳定点,简化了平移估计以计算图像空间中的稳定点。提出了一种基于二分类搜索的快速计算方法。对准稳定点后,我们引入两个骨标记,以中心感知的方式进行旋转估计。此外,还采用了微网格位置传感(DGPS)标记,提高了仪器跟踪的鲁棒性。实验结果表明,仪器跟踪的平均精度为0.16±0.03mm,配准的平均精度为1.41±0.16mm。而且,整个过程耗时不到1分钟。结果表明,该方法具有较大的临床应用潜力。
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来源期刊
Biomedical Signal Processing and Control
Biomedical Signal Processing and Control 工程技术-工程:生物医学
CiteScore
9.80
自引率
13.70%
发文量
822
审稿时长
4 months
期刊介绍: Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences. Emphasis is placed on contributions dealing with the practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management. Biomedical Signal Processing and Control reflects the main areas in which these methods are being used and developed at the interface of both engineering and clinical science. The scope of the journal is defined to include relevant review papers, technical notes, short communications and letters. Tutorial papers and special issues will also be published.
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