Master Thesis Creating Synthetic Motion in MR Images for Evaluation of Novel Approaches to Motion Management on Unity (Medical Imaging)

Location: hirify.global office, Stockholm, Sweden

Company

hirify.global develops precision radiation medicine and radiotherapy solutions used by healthcare providers across more than 130 countries.

What you will do

• Generate paired 3D and 2D MR image datasets containing artificial but anatomically plausible motion.
• Transform pretreatment MR images using plausible deformation vector fields and create synthetic sagittal and coronal Unity-like cine images.
• Establish baseline performance for the current Automatic Position Management algorithm using the Motion Management Replay Tool.
• Define quantitative metrics for displacement accuracy and evaluate failure modes including jitter, through-plane motion, and anatomical deformation.
• Explore approaches for improving target tracking by incorporating deformable motion information.
• Produce prototype scripts, reproducible processing pipelines, a written student report, and a final presentation.

Requirements

• Master’s student in medical physics, computer science, applied mathematics, engineering physics, or a related scientific discipline.
• Programming experience and the ability to work independently on an exploratory research problem.
• Strong scientific or engineering background with confidence in quantitative analysis.

Nice to have

• Experience in medical image processing, ideally using Python.
• Familiarity with radiotherapy, especially MR-Linac systems.

Culture & Benefits

• Full-time master thesis project based at the hirify.global office in Stockholm.
• Flexible start date.
• Supervision by Ned Goodwin.