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Tracking of Irregular Graphical Structures for Tissue Deformation Recovery in Minimally Invasive Surgery

  • Marco Visentini-Scarzanella
  • Robert Merrifield
  • Danail Stoyanov
  • Guang-Zhong Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6363)

Abstract

Tissue deformation tracking is an important topic of minimally invasive surgery with applications ranging from intra-operative guidance to augmented reality visualisation. In this paper, we present a technique for visual tracking of irregular structures with an arbitrary degree of connectivity in space. The variational formulation of the proposed method ensures that correlation is maximised between tracked points and their computed new positions while the overall structure shape variation is minimised, thus maintaining spatial coherence of the tracked structure. The proposed method is applied to surgical annotation and tracking in 3D for telementoring and path-planning. The results are validated both on a CT-scanned phantom model and in vivo, showing an average alignment error of 1.79 mm (± 0.72 mm).

Keywords

Left Anterior Descend Optical Flow Closed Contour Stereo Match Tissue Deformation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Marco Visentini-Scarzanella
    • 1
  • Robert Merrifield
    • 2
  • Danail Stoyanov
    • 2
  • Guang-Zhong Yang
    • 1
    • 2
  1. 1.Royal Society/Wolfson Foundation MIC Laboratory 
  2. 2.Institute of Biomedical EngineeringImperial College LondonLondonUnited Kingdom

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