Exploring AI Engine capabilities in UHF-MRI real-time data processing

This thesis aim to exploit the existing AI Engine to accelerate near-sensor data processing in Ultra-Highy-Field-MRT Systems, allowing data reduction near sensor, and consequently power optimization, and meeting of real-time requirements, facilitating data post-processing.

The topic is suitable for Master's or motivated Bachelor's students.

• Bachelor/Master
• Supervisor: Dr.-Ing. Daniele Passaretti

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