[Rapid Reconstruction of Craniotomy Defects Based on Surgical Navigation]

Area of Science:

• Neurosurgery
• Medical Imaging
• Computer-Aided Surgery

Background:

• Skull defects resulting from surgical approaches present a significant challenge in neurosurgery.
• Accurate and efficient reconstruction of these defects is crucial for patient outcomes.

Purpose of the Study:

• To propose and evaluate a rapid reconstruction method for skull defects using an optical navigation system.
• To assess the accuracy and clinical feasibility of the proposed method for neurosurgical applications.

Main Methods:

• Development of an automated method utilizing intraoperative defect edge points and preoperative medical imaging data.
• Integration of an optical navigation system for real-time guidance and reconstruction.
• Validation through head model experiments to evaluate reconstruction accuracy.

Main Results:

• The method demonstrated high accuracy in reconstructing skull defects, with an average error of 0.424 mm in the right orbit and 0.377 mm in the posterior skull base.
• Experimental results confirmed that the reconstructed defect structures closely matched the actual defects.
• The achieved reconstruction accuracy satisfies the stringent clinical requirements of neurosurgery.

Conclusions:

• The proposed rapid reconstruction method with an optical navigation system is effective for addressing skull defects in neurosurgery.
• The system offers a high degree of accuracy and consistency, making it suitable for clinical use.
• This technology has the potential to improve surgical planning and execution for skull repair procedures.