Application of 3D reconstruction techniques based on multi-depth cameras in radiotherapy
10.3760/cma.j.cn113030-20230308-00041
- VernacularTitle:基于多深度相机的三维重建技术在放疗中的应用
- Author:
Sai ZHANG
1
;
Chunying LI
;
Heng ZHANG
;
Xinye NI
Author Information
1. 南京医科大学附属常州第二人民医院放疗科，江苏省医学物理工程研究中心，南京医科大学医学物理研究中心，江苏省常州市医学物理重点实验室，常州 213003
- Keywords:
Radiotherapy;
Three-dimensional reconstruction;
Six-dimensional error;
Real-time monitoring;
Depth camera
- From:
Chinese Journal of Radiation Oncology
2024;33(1):49-55
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the feasibility of 3D reconstruction techniques based on multi-depth cameras for daily patient positioning in radiotherapy.Methods:Through region of interest (ROI) extraction, filtering, registration, splicing and other processes, multi-depth cameras (Intel RealSense D435i) were used to fuse point clouds in real-time manner to obtain the real optical 3D surface of patients. The reconstructed surface was matched with the external contour of the localization CT to complete the positioning. In this article, the feasibility of the system was validated by using multiple models. Clinical feasibility of 5 patients with head and neck radiotherapy, 10 cases of chest radiotherapy and 5 cases of pelvic radiotherapy was also validated. The data of each group were analyzed by paired t-test. Results:The system running time was 0.475 s, which met the requirement of real-time monitoring. The six-dimensional registration errors in the model experiment were (1.00±0.74) mm, (1.69±0.69) mm, (1.36±0.87) mm, 0.15°±0.14°, 0.25°±0.20°, 0.13°±0.13° in the x, y, z, rotational, pitch and roll directions, respectively. In the actual patient positioning, the mean positioning errors were (0.77±0.51) mm, (1.24±0.67) mm, (0.94±0.76) mm, 0.61°±0.41°, 0.69°±0.55°, and 0.52°±0.35° in the x, y, z, rotational, pitch and roll directions, respectively. The translational error was less than 2.8 mm, and the positioning error was the largest in the pelvic region. Conclusions:Real-time 3D reconstruction techniques based on multi-depth cameras is applicable for patient positioning during radiotherapy. The method is accurate in positioning and can detect the small movement of the patient's position, which meets the requirements of radiotherapy.
