Master Thesis Motion Compensation in CBCT-imaging
Core
Develop a novel motion compensation algorithm for Cone-beam CT (CBCT) imaging in radiation therapy to mitigate patient motion artifacts (respiratory/cardiac) and improve image quality and treatment accuracy.
Role type
Master Thesis Researcher (Medical Imaging / Machine Learning)
Builds
Prototype motion compensation algorithm integrated into CBCT reconstruction pipeline
Domain
Medical Imaging / Radiation Therapy / Machine Learning
Deliverable
production ML models
Required skills
Physics, Medical Imaging, Machine Learning, Python, Image Processing
Preferred skills
Algorithm development, Performance evaluation, Research methodology
Technologies
Python, Image processing libraries
Responsibilities
Conduct literature review on motion compensation techniques, Develop and adapt motion compensation algorithms, Evaluate algorithm performance (image quality, efficiency, robustness), Compare proposed algorithm with existing methods, Document methodology and results, Provide source code