Department of Interventional Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Department of Interventional Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
J Cancer Res Ther. 2024 Aug 1;20(4):1338-1343. doi: 10.4103/jcrt.jcrt_301_24. Epub 2024 Aug 29.
This study aimed to evaluate the accuracy of percutaneous computed tomography (CT)-guided puncture based on machine vision and augmented reality in a phantom.
The surgical space coordinate system was established, and accurate registration was ensured using the hierarchical optimization framework. Machine vision tracking and augmented reality display technologies were used for puncture navigation. CT was performed on a phantom, and puncture paths with three different lengths were planned from the surface of the phantom to the metal ball. Puncture accuracy was evaluated by measuring the target positioning error (TPE), lateral error (LE), angular error (AE), and first success rate (FSR) based on the obtained CT images.
A highly qualified attending interventional physician performed a total of 30 punctures using puncture navigation. For the short distance (4.5-5.5 cm), the TPE, LE, AE, and FSR were 1.90 ± 0.62 mm, 1.23 ± 0.70 mm, 1.39 ± 0.86°, and 60%, respectively. For the medium distance (9.5-10.5 cm), the TPE, LE, AE, and FSR were 2.35 ± 0.95 mm, 2.00 ± 1.07 mm, 1.20 ± 0.62°, and 40%, respectively. For the long distance (14.5-15.5 cm), the TPE, LE, AE, and FSR were 2.81 ± 1.17 mm, 2.33 ± 1.34 mm, 0.99 ± 0.55°, and 30%, respectively.
The augmented reality and machine vision-based CT-guided puncture navigation system allows for precise punctures in a phantom. Further studies are needed to explore its clinical applicability.
本研究旨在评估基于机器视觉和增强现实技术的经皮 CT 引导穿刺在体模中的准确性。
建立手术空间坐标系，采用分层优化框架确保精确配准。采用机器视觉跟踪和增强现实显示技术进行穿刺导航。对体模进行 CT 扫描，规划从体模表面至金属球的三种不同长度的穿刺路径。根据获得的 CT 图像，通过测量目标定位误差（TPE）、横向误差（LE）、角度误差（AE）和首次成功率（FSR）来评估穿刺准确性。
一名高资质的介入医师使用穿刺导航共完成 30 次穿刺。对于短距离（4.5-5.5cm），TPE、LE、AE 和 FSR 分别为 1.90±0.62mm、1.23±0.70mm、1.39±0.86°和 60%。对于中距离（9.5-10.5cm），TPE、LE、AE 和 FSR 分别为 2.35±0.95mm、2.00±1.07mm、1.20±0.62°和 40%。对于长距离（14.5-15.5cm），TPE、LE、AE 和 FSR 分别为 2.81±1.17mm、2.33±1.34mm、0.99±0.55°和 30%。
基于增强现实和机器视觉的 CT 引导穿刺导航系统可实现体模中的精确穿刺。需要进一步研究以探索其临床适用性。
