RGB Video Stream Visualization of C-Arm–Guided Surgical Incision Points
Description
If you are interested in interdisciplinary research combining engineering technologies and medical methodologies, this project would offer you a unique experience working directly in the clinical environment and closely to the surgical routine. With your knowledge and skills, you can contribute directly to improving the safety and precision of modern minimally invasive procedures by implementing new features to the next generation of mobile C-arm.
The focuse of this project is centered at visulization of the surgical incision point in the RGB video stream of a C-arm, with which the accuracy of C-arm guided invasive surgery shall be improved. The techniques involved in this project include C-arm imaging geometry, camera calibration, coordinate transforms and prototype GUI development, etc. The research group will provide you with all necessary resources and guidance, in both engineering and medical perspectives.
With positive project results and sufficient interest, the project can be further extended into a Master’s thesis.
This project will be co-supervised by research group MITI, Simens Healthineers and possible internal supervior of your school.
NOTE: due to the nature of the project, it is highly possible that you have to work regularly on-site in the hospital to access the hardware for your tests.
Requirements
- You are enrolled to a study field that has informatical background, e.g. EI, RCI, IT, etc..
- Very good programming experience (C++, Python).
- Basic understanding of computer vision and coordinate transformations.
- Practical experience with ROS 1, OpenCV, etc. AR frameworks is advantageous.
- Very good german and/or english skills.
- Interest in medical imaging and image-guided surgery.
Start Time
As soon as possible