Keywords: Software Tools, Software Tools, accessible MRI, portable MRI, open-source, cloud data processing
Motivation: Advanced data processing tasks, such as model-based image reconstructions, require computational resources unavailable in many affordable and portable MRI systems.
Goal(s): The main goal is to release the first open-source framework for cloud data processing, compatible with the MaRCoS and MaRGE ecosystem developed for low-field MRI scanners.
Approach: We have upgraded MaRGE to integrate with Tyger, an open-source framework developed by Microsoft Research for remote signal processing.
Results: We have demonstrated a successful integration of Tyger with MaRGE, enabling standard and advanced image reconstruction in the cloud, and demonstrating also compatibility with a deep learning network.
Impact: This work connects affordable low-field MRI scanners to some of the most powerful computational cloud resources, where it shall be possible to execute strictly any tool that can be loaded into a Docker image.
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