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Synchronising a stereoscopic surgical video stream using specular reflection.

Kilian Chandelon1,2, Adrien Bartoli3,4,5

  • 1EnCoV, Institut Pascal, UMR6602 CNRS, UCA, Clermont-Ferrand University Hospital, Clermont-Ferrand, France. kilian.chandelon@gmail.com.

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Summary
This summary is machine-generated.

This study introduces a new method using specular reflections to fix stereo de-synchronisation in surgical videos. The new method significantly improves the accuracy of synchronised surgical video frames.

Keywords:
EndoscopyLeft–right comparison scoreSpecularityStereoSynchronisation

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Area of Science:

  • Medical Imaging
  • Computer Vision
  • Surgical Technology

Background:

  • Stereoscopic surgical video streams from stereo endoscopes require synchronized left-right image pairs for accurate downstream tasks like stereo depth computation.
  • Capture card de-synchronization is a common issue in surgical settings, challenging existing methods that rely on diffuse reflection cues.
  • The surgical environment presents unique difficulties, including moist tissues, rapid camera movements, and the need for real-time processing.

Purpose of the Study:

  • To address the stereo synchronization problem in surgical videos by developing a novel method to recover corresponding left-right images.
  • To overcome the limitations of existing methods in challenging surgical conditions by exploiting specular reflections.

Main Methods:

  • A novel Left-Right Comparison Score (LRCS) was developed, utilizing specular highlights detected on moist tissues via a neural network.
  • Specular highlights were characterized using invariant descriptors and matched to form the LRCS.
  • The proposed LRCS was evaluated against 147 existing methods using 44 challenging robotic surgery video sequences with simulated and real de-synchronization.

Main Results:

  • The proposed LRCS achieved superior performance with an average offset of 0.055 frames and 94.1±3.6% successfully synchronized frames.
  • This significantly outperforms the best existing LRCS, which had an average offset of 0.3 frames and 81.2±6.4% synchronized frames.
  • The proposed method demonstrated an average and maximum offset of 0.055 and 1 frames, respectively.

Conclusions:

  • Exploiting specular reflection provides a significant advancement for real-time surgical stereo synchronization.
  • The proposed method offers a robust solution for synchronizing stereo surgical videos, even in challenging conditions.
  • This technique enhances the reliability of stereo video data for critical surgical applications.