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Robust surface tracking combining features, intensity and illumination compensation

  • Xiaofei DuEmail author
  • Neil Clancy
  • Shobhit Arya
  • George B. Hanna
  • John Kelly
  • Daniel S. Elson
  • Danail Stoyanov
Original Article

Abstract

Purpose

Recovering tissue deformation during robotic-assisted minimally invasive surgery procedures is important for providing intra-operative guidance, enabling in vivo imaging modalities and enhanced robotic control. The tissue motion can also be used to apply motion stabilization and to prescribe dynamic constraints for avoiding critical anatomical structures.

Methods

Image-based methods based independently on salient features or on image intensity have limitations when dealing with homogeneous soft tissues or complex reflectance. In this paper, we use a triangular geometric mesh model in order to combine the advantages of both feature and intensity information and track the tissue surface reliably and robustly.

Results

Synthetic and in vivo experiments are performed to provide quantitative analysis of the tracking accuracy of our method, and we also show exemplar results for registering multispectral images where there is only a weak image signal.

Conclusion

Compared to traditional methods, our hybrid tracking method is more robust and has improved convergence in the presence of larger displacements, tissue dynamics and illumination changes.

Keywords

Non-rigid surface tracking Multispectral imaging Minimally invasive surgery Illumination compensation 

Notes

Acknowledgments

Xiaofei Du is supported by the China Scholarship Council scholarship. Neil Clancy is supported by an Imperial College Junior Research Fellowship. Shobhit Arya is supported by an NIHR-HTD 240 Grant. The authors would like to thank the Northwick Park Institute for Medical Research (NPIMR) for their assistance with surgical arrangements.

Compliance with ethical standards

Conflicts of interest

The authors declare no conflict of interest.

Ethical standard

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all patients who were included in the study.

Supplementary material

Supplementary material 1 (mpg 5780 KB)

Supplementary material 2 (mpg 5789 KB)

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Copyright information

© CARS 2015

Authors and Affiliations

  • Xiaofei Du
    • 1
    Email author
  • Neil Clancy
    • 2
  • Shobhit Arya
    • 2
  • George B. Hanna
    • 2
  • John Kelly
    • 3
  • Daniel S. Elson
    • 2
  • Danail Stoyanov
    • 1
  1. 1.Department of Computer Science, Centre for Medical Image ComputingUniversity College LondonLondonUK
  2. 2.Department of Surgery and CancerImperial College LondonLondonUK
  3. 3.Division of Surgery and Interventional ScienceUniversity College LondonLondonUK

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