Adjustment and Basic Imaging Sequences for the Open-Source MRI4ALL Console Using the PyPulseq and MaRCoS Libraries

Motivation: Open-source imaging significantly advances MR accessibility. The construction of an open-source scanner required the development of an open-source consoleGoal(s): This work aims to develop acquisition tools to calibrate the system hardware, acquire signals in the form of 1D, 2D, and 3D images, and provide a visualization of the acquisition trajectories. Approach: Using the PyPulseq and the MaRCoS libraries, we implemented the adjustment (RF, gradients, shim), and acquisition sequences (1D, 2D, 3D) as well as a plotting tool for Cartesian trajectories. Results: The acquisition tools were run on the scanner, successfully defining calibration values, obtaining signals, and plotting trajectories. Impact: As part of the MRI4ALL Hackathon, this work integrates and advances a toolset for acquisition support, compatible with vendor-agnostic libraries like PyPylseq and MaRCoS. This demonstration contributes to the expedited construction of a standalone low-field MRI scanner in a laboratory.