A feasibility study of real-time dynamic three-dimensional auricular image guidance based on sensors
10.3760/cma.j.cn114453-20200613-00363
- VernacularTitle:基于标记点形成实时动态耳廓三维影像导板的实验研究
- Author:
Qinhao GU
1
;
Leren HE
;
Chen YANG
Author Information
1. 中国医学科学院北京协和医学院整形外科医院整形七科 100144
- Keywords:
Congenital microtia;
Ear auricle;
Imaging, three-dimension;
Augmented reality;
Image guidance
- From:
Chinese Journal of Plastic Surgery
2021;37(1):13-21
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To design a real time dynamic three-dimensional(3D) auricular image guidance based on sensors and make an evaluation of it.Methods:One commercial head model and 3 volunteers (2 men and 1 woman, aged 24-27 years old) recruited from Plastic Surgery Hospital, Chinese Academy of Medical Sciences in August 2019 were studied. Digital models of auricle were made using CT data of three volunteers with ITK-SNAP 3.6.0 and MeshLab (V 2016.12.23). The optimal number of sensors was three and the optimal location of sensors was one side of the eyebrow, the nasal tip and the inferior point of the earlobe. The virtual model was connected with the real auricle based on three sensors. The 3D auricular image was projected to the corresponding real auricle through the projector. The infrared motion-capture device was used to capture the changes of the position of the sensors to realize real-time tracking. The matching accuracy between 3D auricular image and real auricle was evaluated by calculating the coincidence error rate after registration, calculating the coincidence error rate, image deformation and tracking latency during tracking.Results:The average coincidence error rate after registration was 2.5% (the difference between the normal bilateral ears was 2.7%), which showed the registration precision was high. The coincidence error rate was lower than 2.7% in certain rotation angle (30° clockwise) and the image deformation was lower than 2.6% in certain rotation angle (30° clockwise and 15° counterclockwise) during tracking, which demonstrated the precision of tracking head movement was high and image deformation was low in a certain rotation range. The time of image update and motion tracking was less than 0.1 s, which satisfied the requirement of surgery.Conclusions:This study demonstrates that the fabrication of real-time dynamic 3D auricular image guidance based on sensors is feasible and the image guidance has high accuracy of registration and tracking, low image deformation and fast tracking speed, which lays a foundation for its application in clinical auricle reconstruction in the future.
