Target registration error minimization for minimally invasive interventions involving deformable organs.

Area of Science:

• Medical Imaging
• Surgical Navigation
• Biomedical Engineering

Background:

• Image-based navigation systems face challenges in precise target point localization during minimally invasive procedures.
• Fiducial registration error (FRE) and target registration error (TRE) are key metrics for assessing navigation accuracy.
• Understanding the relationship between FRE and TRE is crucial for improving surgical guidance.

Purpose of the Study:

• To develop and validate a real-time method for estimating target position in deformable regions during minimally invasive surgery.
• To investigate the utility of thin plate splines (TPS) and marker observation for monitoring FRE during respiratory motion.
• To enhance the precision of image-based navigation systems for liver tumor interventions.

Main Methods:

• Utilized thin plate splines (TPS) to model deformation fields.
• Employed marker observation to monitor fiducial registration error (FRE) during patient respiration.
• Developed a methodology for real-time estimation of target position based on the deformation field.
• Validated the proposed approach through experiments with 21 liver tumor patients.

Main Results:

• Demonstrated that there is no significant dependence between fiducial registration error (FRE) and target registration error (TRE).
• Showcased the utility of TPS and marker observation for monitoring FRE during respiration.
• Successfully estimated target positions in deformable regions with the proposed methodology.
• Verified the method's effectiveness in a clinical setting with liver tumor patients.

Conclusions:

• The developed methodology enables real-time estimation of target position during minimally invasive procedures in deformable regions.
• Monitoring FRE during respiration using TPS and marker observation is a viable strategy to improve target localization accuracy.
• This approach holds promise for enhancing the safety and efficacy of image-guided surgery, particularly for liver tumor treatments.