To develop a marker-less, real-time needle tracking system for CT-guided interventions using low-cost RGB cameras, while also providing a publicly available dataset to facilitate further research in needle tracking.
Key Findings:
The proposed system achieved clinically accurate tracking for both known and unknown needle types, enhancing procedural safety.
Demonstrated robust performance under conditions where traditional marker-based systems fail, including occlusion and needle deflection, indicating its reliability in complex scenarios.
The publicly available dataset supports further research in marker-less needle tracking, potentially accelerating advancements in the field.
Interpretation:
The marker-less tracking system significantly reduces procedural complexity and enhances tracking reliability in CT-guided interventions, effectively addressing limitations of existing marker-based systems and improving patient outcomes.
Limitations:
The system's performance may vary based on environmental conditions, such as lighting and background clutter, as well as camera configurations.
The dataset may not encompass all possible needle types and scenarios encountered in clinical practice, which could limit its applicability.
Conclusion:
This work represents a significant advancement in marker-less needle tracking for CT-guided procedures, offering a practical solution to enhance precision and reduce complexity in minimally invasive interventions.
