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Endoscopy-MR Image Fusion for Image Guided Procedures.

Anwar Abdalbari1, Xishi Huang, Jing Ren

  • 1Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, 2000 Simcoe Street North, Oshawa, ON, Canada L1H 7K4.

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|December 4, 2013
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This study introduces a new method for aligning endoscopic images with MRI scans during surgery. This technique improves 3D visualization for minimally invasive abdominal procedures, enhancing surgical accuracy.

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Area of Science:

  • Medical Imaging
  • Surgical Technology
  • Computer-Aided Surgery

Background:

  • Minimally invasive surgery offers benefits like reduced trauma and faster recovery.
  • Limited endoscopic view and lack of 3D context are key challenges in endoscopic surgery.
  • Accurate registration of intraoperative and preoperative data is crucial for enhanced surgical navigation.

Purpose of the Study:

  • To develop a rapid and accurate method for aligning intraoperative stereo endoscopic images with preoperative Magnetic Resonance (MR) images.
  • To provide crucial 3D context to the endoscopic view during abdominal procedures.
  • To enhance surgical site visualization and accuracy in minimally invasive surgery.

Main Methods:

  • Projection of a gridline light pattern onto the surgical site to aid registration.
  • Surface-based registration aligning stereo endoscopic images with preoperative MR images.
  • Validation of the method using a liver phantom model.

Main Results:

  • Achieved a surface registration error of 0.76 ± 0.11 mm on a liver phantom.
  • Demonstrated the feasibility of rapid and accurate image alignment.
  • Successfully provided 3D context to the endoscopic view.

Conclusions:

  • The proposed surface-based registration method effectively aligns intraoperative endoscopic images with preoperative MR data.
  • This technique significantly enhances 3D visualization for minimally invasive abdominal procedures.
  • The validated accuracy suggests potential for improved surgical navigation and outcomes.