Video registration virtual reality for nonlinkage stereotactic surgery

Area of Science:

• Neurosurgery
• Medical Imaging
• Virtual Reality

Background:

• Image-guided surgery enhances surgical precision.
• Accurate localization of brain and spine lesions is critical.
• Existing methods may lack real-time integration with patient anatomy.

Purpose of the Study:

• To develop and evaluate a novel virtual reality-based technique for image-guided brain and spine surgery.
• To enable real-time superimposition of 3D neuroimages onto live patient video for enhanced surgical navigation.

Main Methods:

• Combined three-dimensional (3D) computer-reconstructed neuroimages (MR/CT) with a novel video registration technique.
• Segmented 3D scans into relevant anatomical components for surgical planning.
• Utilized a portable workstation to display the intraoperative surgeon's perspective.
• Employed a video mixer to superimpose 3D reconstructions onto live patient video feeds.
• Aligned surface landmarks and fiducials for precise image registration.

Main Results:

• The technique allows surgeons to localize cerebral and spinal lesions by superimposing 3D scans onto live video.
• Optimal surgical approaches can be determined by studying the segmented 3D anatomy.
• The superimposition of images was achieved by adjusting patient position and 3D reconstruction scale, position, and rotation.

Conclusions:

• The developed technique offers a promising approach for virtual reality-based, image-guided surgery.
• This method enhances the ability to precisely navigate and target lesions in the brain and spine.
• Real-time visual feedback through image superimposition improves surgical planning and execution.