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Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
Published on: September 2, 2025
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A hybrid method to improve target registration accuracy in surgical navigation
Sangseo Jeon1, Jaeyeong Park1,2, Jongho Chien1
1a 1 Department of Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology , Daegu, Republic of Korea.
Summary
This study introduces a hybrid registration method for surgical navigation, combining skin markers with anatomical landmarks. This approach significantly reduces target registration error (TRE) for deeper surgical targets.
Area of Science:
- Medical Imaging
- Surgical Navigation
- Biomedical Engineering
Background:
- Accurate patient-to-image registration is crucial for surgical navigation precision.
- Traditional point-based registration using skin markers exhibits limitations for deep-seated targets.
- Increased target registration error (TRE) is a known challenge in deep anatomical procedures.
Purpose of the Study:
- To develop and validate a hybrid registration technique enhancing accuracy for surgical navigation.
- To reduce target registration error (TRE) by incorporating anatomical landmarks into the registration process.
Main Methods:
- A hybrid registration method combining artificial (skin markers) and anatomical landmarks was developed.
- Ultrasound calibration with an optical tracker facilitated non-invasive acquisition of anatomical landmark positions.
- The method integrated landmark data with traditional skin markers for patient-to-image registration.
Main Results:
- The hybrid method demonstrated a significant decrease in target registration error (TRE) (p < 0.001).
- While fiducial registration error (FRE) slightly increased, the overall TRE reduction was substantial.
- Experimental validation confirmed the effectiveness of incorporating anatomical landmarks.
Conclusions:
- The proposed hybrid registration method effectively improves patient-to-image registration accuracy.
- This technique offers a feasible solution for reducing target registration error in spinal surgeries.
- The integration of anatomical landmarks enhances the reliability of surgical navigation systems.
