An intelligent NIR camera calibration method for optical surgical navigation system

Issue title: Applications of intelligent & fuzzy theory in engineering technologies and applied science

Guest editors: Álvaro Rocha

Article type: Research Article

Authors: Cai, Ken^*

Affiliations: School of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China

Correspondence: [*] Corresponding author. Ken Cai, School of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China. Tel./Fax: +8602089002069; E-mail: [email protected].

Abstract: 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 NIR 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 NIR 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.

Keywords: Calibration temthe systeplate, intelligent calibration, near-infrared camera, surgical navigation system

DOI: 10.3233/JIFS-169048

Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2091-2100, 2016