验证基于增强现实的功能性方法,以确定和渲染全髋关节置换术中的髋关节旋转中心。

Quentin Neuville, Taylor Frantz, Frederick Van Gestel, Bart Janssen, Jef Vandemeulebroucke, Johnny Duerinck, Thierry Scheerlinck
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引用次数: 0

摘要

背景:我们介绍了一种在全髋关节置换术中使用增强现实头戴式显示器(AR-HMD)确定和可视化髋关节功能旋转中心(FCOR)的方法:我们开发了一款软件,允许 HoloLens 对贴在尸体股骨和 3D 打印髋臼上的标记进行由内而外的红外跟踪。两名观察者在一个匹配杯中旋转 20 个尸体股骨两次,共进行了 80 次测量。髋臼和股骨头的 FCOR 是根据股骨追踪器与髋臼追踪器的位移所产生的点云确定的:与地面实况相比,髋臼和股骨的 FCOR 绝对误差分别为 2.9 ± 1.4 毫米和 2.9 ± 1.2 毫米,第 95 百分位数分别低于 5.6 毫米和 4.7 毫米:结论:拟议的 AR-HMD 系统为在实验环境中确定股骨和髋臼的 FCOR 提供了一种准确且可重复的方法。
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Validation of an Augmented Reality Based Functional Method to Determine and Render the Hip Rotation Centre During Total Hip Arthroplasty

Background

We present a method to determine and visualise the functional centre of rotation (FCOR) of the hip during total hip arthroplasty using an augmented reality head mounted display (AR-HMD).

Methods

We developed software allowing a HoloLens to provide inside-out infrared tracking of markers affixed to cadaver femurs and 3D printed acetabuli. Two observers rotated 20 cadaver femurs twice in a matching cup, producing 80 measurements. The FCOR of the acetabulum and femoral head was determined based on the point cloud generated from the displacement of the femoral trackers to the acetabular tracker.

Results

Compared to the ground truth, the FCOR resulted in an absolute error of 2.9 ± 1.4 mm for the acetabulum and 2.9 ± 1.2 mm for the femur, with 95th percentiles below 5.6 and 4.7 mm.

Conclusion

The proposed AR-HMD system offers an accurate and reproducible way to determine the femoral and acetabular FCOR in an experimental setting.

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来源期刊
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.
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