An image-guided stereotactic system for neurosurgical operations

Area of Science:

• Neurosurgery
• Medical Imaging
• Surgical Navigation

Background:

• Preoperative imaging (CT/MRI) can be inaccurate for intracranial lesion localization due to displacement or distortion.
• Accurate intraoperative localization of deep-seated lesions and surrounding anatomy is crucial for effective surgical guidance.

Purpose of the Study:

• To develop and evaluate a novel simulation system for image-guided surgery.
• To enhance the accuracy of lesion localization and surgical navigation in intracranial operations.

Main Methods:

• Developed an image integration system combining digital images (CT/MRI/SPECT) with ultrasound and laser navigation.
• Utilized a stereotactic subframe to coordinate 3D axes of preoperative and intraoperative images.
• Implemented two simulation systems (SUN workstation and MacIntosh HyperCAS) for preoperative planning and intraoperative guidance.

Main Results:

• The system integrates preoperative data with intraoperative ultrasound for precise lesion visualization.
• Preoperative simulation allows planning of entry points and trajectories.
• Intraoperative ultrasound provides real-time anatomical information, enabling correction of surgical approach.

Conclusions:

• The developed image integration and simulation system significantly improves the accuracy of image-guided intracranial surgery.
• Combining preoperative planning with intraoperative ultrasound navigation enhances lesion localization and surgical precision.
• This technology offers a more reliable approach for navigating and treating deep-seated brain lesions.