Abstract #4683

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

Anais Artiges^1,2, Kai Tobias Block^1,2, Luoyao Chen^1,2, Lincoln Craven-Brightman³, Jonathan Martin⁴, Vlad Negnevitsky⁵, Amanpreet Singh Saimbhi^1,2, Jason Stockmann³, Heng Sun⁶, Roy Wiggins^1,2, Ruoxun Zi^1,2, and Sairam Geethanath⁷

¹Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York University, New York, NY, United States, ²Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York University, New York, NY, United States, ³Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, ⁴Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, ⁵Oxford Ionics Ltd, Oxford OX5 1PF, United Kingdom, ⁶Department of Biomedical Engineering, Yale University, New Haven, CT, United States, ⁷Accessible Magnetic Resonance Laboratory, Biomedical Imaging and Engineering Institute, Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mt. Sinai, New York, NY, United States

Synopsis

Keywords: Software Tools, Software Tools

Motivation: Open-source imaging significantly advances MR accessibility. The construction of an open-source scanner required the development of an open-source console

Goal(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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.