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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Beihang Univ Sch Mech Engn & Automat Beijing 100083 Peoples R China
出 版 物:《SENSORS》 (传感器)
年 卷 期:2019年第19卷第9期
页 面:1989.-1989.页
核心收录:
学科分类:0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学]
基 金:National Hi-Tech Research and Development Program of China [2015AA043204] National Natural Science Foundation of China Capital Medical Development Research Fund
主 题:surgical navigation system online C-arm calibration method calibration error ACL reconstruction
摘 要:To improve the accuracy of calibration of C-arm, and overcome the space limitation in surgery, we proposed a new calibrator for online calibration of C-arm. After the image rectification by a polynomial fitting-based global correction method, the C-arm was assumed as an ideal pinhole model. The relationships between two kinds of spatial calibration errors and the distribution of fiducial points were studied: the performance of FRE (Fiducial Registration Error) and TRE (Target Registration Error) were not consistent, but both were best at the 12 marked points;the TRE decreased with the increase of the uniformity of calibration points distribution, and with the decrease of the distance between the target point and the center of calibration points. A calibrator with 12 fiducial points conical helically distributed, which could be placed on the knee, was an attractive option. A total of 10 experiments on C-arm calibration accuracy were conducted and the mean value of mapping error was 0.41 mm. We designed an ACL reconstruction navigation system and carried out specimen experiments on 4 pairs of dry femur and tibia. The mean accuracy of navigation system was 0.85 mm, which is important to the tunnel positioning for ACL reconstruction.