Division of Intelligent Robot, Daegu Gyeongbuk Institute of Science and Technology (DGIST), 333 Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu, 42988, Republic of Korea.
Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), 333 Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu, 42988, Republic of Korea.
Int J Comput Assist Radiol Surg. 2024 Aug;19(8):1647-1657. doi: 10.1007/s11548-024-03164-5. Epub 2024 May 23.
Calibration of an optical see-through head-mounted display is critical for augmented reality-based surgical navigation. While conventional methods have advanced, calibration errors remain significant. Moreover, prior research has focused primarily on calibration accuracy and procedure, neglecting the impact on the overall surgical navigation system. Consequently, these enhancements do not necessarily translate to accurate augmented reality in the optical see-through head mount due to systemic errors, including those in calibration.
This study introduces a simulated augmented reality-based calibration to address these issues. By replicating the augmented reality that appeared in the optical see-through head mount, the method achieves calibration that compensates for augmented reality errors, thereby reducing them. The process involves two distinct calibration approaches, followed by adjusting the transformation matrix to minimize displacement in the simulated augmented reality.
The efficacy of this method was assessed through two accuracy evaluations: registration accuracy and augmented reality accuracy. Experimental results showed an average translational error of 2.14 mm and rotational error of 1.06° across axes in both approaches. Additionally, augmented reality accuracy, measured by the overlay regions' ratio, increased to approximately 95%. These findings confirm the enhancement in both calibration and augmented reality accuracy with the proposed method.
The study presents a calibration method using simulated augmented reality, which minimizes augmented reality errors. This approach, requiring minimal manual intervention, offers a more robust and precise calibration technique for augmented reality applications in surgical navigation.
在基于增强现实的手术导航中，光学透视头戴式显示器的校准至关重要。虽然传统方法已经有所进步，但校准误差仍然很大。此外，之前的研究主要集中在校准的准确性和过程上，忽略了对整体手术导航系统的影响。因此，这些改进不一定会由于系统误差（包括校准误差）而转化为光学透视头戴式显示器中准确的增强现实。
本研究引入了一种模拟增强现实的校准方法来解决这些问题。通过复制光学透视头戴式显示器中出现的增强现实，该方法实现了补偿增强现实误差的校准，从而降低了误差。该过程涉及两种不同的校准方法，然后调整变换矩阵以最小化模拟增强现实中的位移。
通过两种准确性评估（注册准确性和增强现实准确性）来评估该方法的效果。实验结果表明，两种方法的平均平移误差为 2.14mm，旋转误差为 1.06°。此外，通过重叠区域的比例测量的增强现实准确性增加到约 95%。这些发现证实了该方法在校准和增强现实准确性方面的增强。
本研究提出了一种使用模拟增强现实的校准方法，可最小化增强现实误差。这种方法需要最小的人工干预，为手术导航中的增强现实应用提供了更强大、更精确的校准技术。
