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Master's Thesis - Physics Simulator for Optimized MRI of Metal Implants
Magnetic resonance imaging (MRI) of patients with metallic implants is challenging due to metal-induced field disturbances, which translate into significant image artifacts. The focus of this project is to incorporate implants models in an established MR physics simulator and to optimize imaging parameters such that patients may benefit from an improved diagnosis based on MR images with reduced image artifacts.
In the first step, magnetic field distortions of commonly used implants at Balgrist University Hospital will be incorporated in an established MR physics simulator. Based on this MRI model, image-acquisition techniques and parameters will be investigated and optimized to minimize metal-induced image artifacts. To address the long acquisition time and to reduce the deposited energy, data undersampling strategies like compressed sensing or machine learning will be explored. Finally, findings from in-silico experiments will be validated in MRI phantoms containing metallic implants commonly employed at Balgrist University Hospital. This research project will be conducted in a joint effort of the Swiss Center for Musculoskeletal Imaging (SCMI) at Balgrist Campus, the Radiology Department of Balgrist University Hospital and Siemens Healthineers.
We expect you have
- (Ongoing) master’s in Physics, Electrical or Biomedical Engineering, Computer Sciences, or related fields.
- Programming experience in Matlab.
- An interest in computational models and MR physics.
In the first step, magnetic field distortions of commonly used implants at Balgrist University Hospital will be incorporated in an established MR physics simulator. Based on this MRI model, image-acquisition techniques and parameters will be investigated and optimized to minimize metal-induced image artifacts. To address the long acquisition time and to reduce the deposited energy, data undersampling strategies like compressed sensing or machine learning will be explored. Finally, findings from in-silico experiments will be validated in MRI phantoms containing metallic implants commonly employed at Balgrist University Hospital. This research project will be conducted in a joint effort of the Swiss Center for Musculoskeletal Imaging (SCMI) at Balgrist Campus, the Radiology Department of Balgrist University Hospital and Siemens Healthineers.
We expect you have
- (Ongoing) master’s in Physics, Electrical or Biomedical Engineering, Computer Sciences, or related fields.
- Programming experience in Matlab.
- An interest in computational models and MR physics.
The primary objectives of this research project are to accelerate existing acquisition approaches and to improve image quality by optimizing MR sequence parameters.
The primary objectives of this research project are to accelerate existing acquisition approaches and to improve image quality by optimizing MR sequence parameters.
Constantin von Deuster, PhD - constantin.vondeuster@balgrist.ch
Constantin von Deuster, PhD - constantin.vondeuster@balgrist.ch