摘要

The near-infrared (NIR) camera is extensively used in the optical tracking system for surgical navigation because it can effectively restrain the interference from environmental light in the imaging process. The accuracy of the optical tracking system is determined by camera calibration. However, the existing calibration methods are intended for visible-light cameras and are inapplicable to MR cameras because the latter has no capacity to capture the calibration pattern. In the study a calibration pattern composed of near-infrared surface-mounted diodes is designed, and the corresponding intelligent algorithm based on geometric information that can be used to calibrate the MR camera is proposed. Using this method requires the implementation of automatic decision of angular points via triangular gridding. The experimental results show that our proposed method is accurate and effective in meeting the application requirements of surgical navigation.

全文