A fast co-registration scheme between camera and MRI for MRI-guided surgery

Area of Science:

• Medical Imaging
• Surgical Technology
• Biomedical Engineering

Background:

• Co-registration between optical trackers and MRI is crucial for MRI-guided surgery.
• Current methods can be time-consuming and prone to errors.
• There is a need for faster, more accurate integration techniques.

Purpose of the Study:

• To develop and validate an innovative co-registration scheme for integrating RGB cameras with MRI.
• To improve the speed and accuracy of the co-registration process for MRI-guided surgery.
• To assess the potential of cost-effective RGB cameras in this application.

Main Methods:

• Designed a registration model with an ArUco marker for camera detection and internal water blobs for MRI calibration.
• Utilized a line scan pulse sequence for water blob localization and reconstruction.
• Established the transformation relationship between camera and MRI coordinate systems.

Main Results:

• The line scanning method demonstrated lower registration errors compared to conventional techniques.
• Scanning speeds were over ten times faster than traditional methods.
• Needle tip localization accuracy achieved a deviation of only 1.008 mm.

Conclusions:

• The proposed co-registration scheme offers a significant improvement in speed and accuracy for MRI-guided surgery.
• Cost-effective RGB cameras show considerable potential for clinical use in this field.
• The method is adaptable to other optical trackers, promising broader applicability and reduced preparation times.