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Physics Simulator for Optimized MRI of Metal Implants
Magnetic resonance imaging (MRI) of patients with metallic implants is challenging due to local metal-induced field disturbances, which translate into significant image artifacts. The primary objectives of this research project are to accelerate existing acquisition approaches and to improve image quality by optimizing MR sequence parameters.
Keywords: Medical imaging, MRI, physics, simulations, image processing
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.
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.
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Constantin von Deuster, PhD - constantin.von_deuster@siemens-healthineers.com
Constantin von Deuster, PhD - constantin.von_deuster@siemens-healthineers.com