Introduction: Magnetic Resonance Imaging (MRI) has become an essential tool for guiding minimally invasive procedures, especially in the field of interventional radiology. Real-time needle tracking during procedures can enhance accuracy and safety, enabling more precise targeting and monitoring of interventions.
This MSc project aims to develop and implement real-time MRI-guided needle tracking algorithms based on advanced image processing and computer vision methods (preferably deep learning methods) for interventional procedures.
Components of the Project:
- Literature Review:
- Software System Development:
- Algorithm Development:
- Integration with Interventional Procedures:
- Validation and Testing:
- Thesis Writing and Reporting:
Potential Challenges:
- Real-time image processing requirements for real-time MRI data.
- Integration with existing MRI systems available in TechMed.
Expected Outcomes:
- A functional real-time MRI-guided needle tracking method/algorithm/system.
- Validation of the system's accuracy and feasibility.
- Recommendations for clinical implementation.
This project would contribute to the advancement of MRI-guided interventions, providing a valuable tool for clinicians in real-time monitoring and guidance during minimally invasive procedures. This project will be co-supervised by Dr. Wyger Brink (Magnetic Detection & Imaging, TechMed Centre).