New Calibrator with Points Distributed Conical Helically for Online Calibration of C-Arm
Author(s) -
Na Guo,
Biao Yang,
Yuhan Wang,
Huan Liu,
Lei Hu,
Tianmiao Wang
Publication year - 2019
Publication title -
sensors
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.636
H-Index - 172
ISSN - 1424-8220
DOI - 10.3390/s19091989
Subject(s) - calibration , fiducial marker , artificial intelligence , computer vision , conical surface , computer science , mathematics , geometry , statistics
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.
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