Skip to main content
SpringerLink
Log in

Synchronization Design and Error Analysis of Near-Infrared Cameras in Surgical Navigation

  • Systems-Level Quality Improvement
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

The accuracy of optical tracking systems is important to scientists. With the improvements reported in this regard, such systems have been applied to an increasing number of operations. To enhance the accuracy of these systems further and to reduce the effect of synchronization and visual field errors, this study introduces a field-programmable gate array (FPGA)-based synchronization control method, a method for measuring synchronous errors, and an error distribution map in field of view. Synchronization control maximizes the parallel processing capability of FPGA, and synchronous error measurement can effectively detect the errors caused by synchronization in an optical tracking system. The distribution of positioning errors can be detected in field of view through the aforementioned error distribution map. Therefore, doctors can perform surgeries in areas with few positioning errors, and the accuracy of optical tracking systems is considerably improved. The system is analyzed and validated in this study through experiments that involve the proposed methods, which can eliminate positioning errors attributed to asynchronous cameras and different fields of view.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. García-Vázquez, V., Marinetto, E., Santos-Miranda, J. A., Calvo, F. A., Desco, M., and Pascau, J., Feasibility of integrating a multi-camera optical tracking system in intra-operative electron radiation therapy scenarios. Phys. Med. Biol. 58(24):8769–8782, 2013.

    Article  PubMed  Google Scholar 

  2. Lü, Y., Li, C., Liu, M., Fritz, J., Carrino, J. A., Wu, L., and Zhao, B., MRI-guided stereotactic aspiration of brain abscesses by use of an optical tracking navigation system. Acta Radiol. 55(1):121–128, 2014.

    Article  PubMed  Google Scholar 

  3. Cheng, T. Y., and Herman, C., Motion tracking in infrared imaging for quantitative medical diagnostic applications. Infrared Phys. Technol. 62:70–80, 2014.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Vaccarella, A., De Momi, E., Enquobahrie, A., and Ferrigno, G., Unscented Kalman filter based sensor fusion for robust optical and electromagnetic tracking in surgical navigation. IEEE Trans. Instrum. Meas. 62(7):2067–2081, 2013.

    Article  Google Scholar 

  5. Yang, R., Wang, Z., Liu, S., and Wu, X., Design of an accurate near infrared optical tracking system in surgical navigation. J. Lightwave Technol. 31(2):223–231, 2013.

    Article  Google Scholar 

  6. Cheng, P., Jhiang, S. M., and Menq, C. H., Real-time visual sensing system achieving high-speed 3D particle tracking with nanometer resolution. Appl. Opt. 52(31):7530–7539, 2013.

    Article  PubMed  Google Scholar 

  7. Ohtani, K., and Baba, M., A high-speed, high-accuracy optical position sensor integrated with an analog and digital signal-processing circuit. Electron. Commun. Jpn. 94(12):12–21, 2011.

    Article  Google Scholar 

  8. Schuppe, O., An optical tracking system for a microsurgical training simulator. Stud. Health Technol. Inform. 173:445–449, 2012.

    PubMed  Google Scholar 

  9. Blostein, S. D., and Huang, T. S., Error analysis in stereo determination of 3-D point positions. IEEE Trans. Pattern Anal. Mach. Intell. 9(6):752–765, 1987.

    Article  PubMed  CAS  Google Scholar 

  10. Olague, G., and Mohr, R., Optimal camera placement for accurate reconstruction. Pattern Recogn. 35(4):927–944, 2002.

    Article  Google Scholar 

  11. Helm, P. A., Teichman, R., Hartmann, S. L., and Simon, D., Spinal navigation and imaging: history, trends, and future. IEEE Trans. Med. Imaging 34(8):1738–1746, 2015.

    Article  PubMed  Google Scholar 

  12. Wiles, A. D., Thompson, D. G., and Frantz, D. D., Accuracy assessment and interpretation for optical tracking systems. Proc. SPIE Int. Soc. Opt. Eng. 5367:421–432, 2004.

    Google Scholar 

  13. Yang, R., Cheng, S., and Chen, Y., Flexible and accurate implementation of a binocular structured light system. Opt. Lasers Eng. 46(5):373–379, 2008.

    Article  Google Scholar 

Download references

Acknowledgments

This research was funded by the National Natural Science Foundation of China under Grant No.61505037, the Guangdong Natural Science Foundation under Grant No.S2013040014993, the State Scholarship Fund under Grant CSC NO.201408440326, the Pearl River S&T Nova Program of Guangzhou under Grant No.2014J2200049 and No.201506010035, the Guangdong Provincial Science and Technology Program under Grant No.2013B090600057 and No.2014A020215006, the Fundamental Research Funds for the Central Universities under Grant No.2014ZG003D, the Natural Scientific Foundation of Guangxi under Grant No.2015GXNSFBA139259.

Author information

Authors and Affiliations

  1. School of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China

    Ken Cai

  2. Department of Biomedical Engineering, South China University of Technology, Guangzhou, 510006, China

    Rongqian Yang, Yizhou Huang & Xiaoyan Wen

  3. College of Science, Guilin University of Technology, Guilin, 541004, China

    Huazhou Chen

  4. School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China

    Ken Cai & Wenhua Huang

  5. Department of Radiology, General Hospital of Guangzhou Military Command of PLA, Guangzhou, 510010, China

    Shanxing Ou

Authors
  1. Ken Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rongqian Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Huazhou Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yizhou Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xiaoyan Wen
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Wenhua Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Shanxing Ou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rongqian Yang.

Additional information

This article is part of the Topical Collection on Systems-Level Quality Improvement.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cai, K., Yang, R., Chen, H. et al. Synchronization Design and Error Analysis of Near-Infrared Cameras in Surgical Navigation. J Med Syst 40, 7 (2016). https://doi.org/10.1007/s10916-015-0368-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-015-0368-2

Keywords

Search

Navigation