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Visualization in 2D/3D registration matters for assuring technology-assisted image-guided surgery.

Sue Min Cho1, Robert B Grupp2, Catalina Gomez2

  • 1Johns Hopkins University, Baltimore, MD, USA. scho72@jhu.edu.

International Journal of Computer Assisted Radiology and Surgery
|April 20, 2023
PubMed
Summary

Novel visualization methods improve human assessment of 2D/3D registration accuracy in image-guided surgery. These techniques are vital for ensuring safety in robotic and navigation-assisted surgical procedures.

Keywords:
2D/3D registrationAssured autonomyImage-guided surgeryPerceptionVisualization

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Area of Science:

  • Medical Imaging
  • Surgical Technology
  • Human-Computer Interaction

Background:

  • Image-guided navigation and surgical robotics are advancing minimally invasive surgery.
  • Ensuring safety is paramount for deploying these technologies in clinical settings.
  • 2D/3D registration is crucial for aligning preoperative and intraoperative data, but verification methods are needed.

Purpose of the Study:

  • To develop and evaluate novel visualization paradigms for human assessment of 2D/3D registration accuracy.
  • To investigate the impact of different visualization approaches on user performance in identifying registration errors.
  • To enhance the safety assurance of image-guided surgery systems.

Main Methods:

  • Developed novel visualization paradigms (Neutral, Attention-Guiding, Correspondence-Suggesting).
  • Employed a sampling method based on approximate posterior distribution to simulate registration offsets.
  • Conducted a user study with 22 participants evaluating 12 pelvic fluoroscopy images.

Main Results:

  • All visualization paradigms improved performance over random guessing.
  • Novel paradigms outperformed the neutral approach in differentiating acceptable/unacceptable registrations.
  • Highest accuracy (70.4%) and F1 score (65.7%) were achieved with Attention-Guiding and Correspondence-Suggesting paradigms.

Conclusions:

  • Visualization paradigms significantly influence human assessment of 2D/3D registration errors.
  • Further research is required to optimize these methods for enhanced accuracy.
  • This work is a key step towards improving safety in technology-assisted image-guided surgery.