Microcontrollers in the MR scanner: An in-depth characterization of the performance tradeoff

Motivation: Microcontrollers are practical tools in many MRI experiments, however, mutual interactions can impact microcontroller and MRI performance. So far, no in-depth characterization of these interactions has been conducted. Goal(s): Characterizing simultaneously the functionality of microcontrollers in the magnet's isocenter and the MR imaging performance. Approach: The functionality of two communicating Raspberry Pi Picos is tested under high-RF and high-gradient sequences, and the impact of different microcontroller configurations on image SNR is analyzed. Results: Removing the DC-DC converter from both used microcontroller boards and disabling UART communication to an external computer help preserve MR image SNR. MR scans only slightly impact microcontroller functionality. Impact: This work presents an in-depth characterization of the mutual impact of microcontrollers and MR imaging. Lessons learned from these experiments will help the future implementation of setups employing microcontrollers, e.g. operation of sensors and actuators.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4974
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
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article

Microcontrollers in the MR scanner: An in-depth characterization of the performance tradeoff

John C. Moosbrugger, Roberta Frass‐Kriegl, Michael Hofbauer, Jean-Lynce Gnanago et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Iterative Learning Control Systems
article

Microcontrollers in the MR scanner: An in-depth characterization of the performance tradeoff

John C. Moosbrugger, Roberta Frass‐Kriegl, Michael Hofbauer, Jean-Lynce Gnanago, Lena Nohava
article en

Abstract

Motivation: Microcontrollers are practical tools in many MRI experiments, however, mutual interactions can impact microcontroller and MRI performance. So far, no in-depth characterization of these interactions has been conducted. Goal(s): Characterizing simultaneously the functionality of microcontrollers in the magnet's isocenter and the MR imaging performance. Approach: The functionality of two communicating Raspberry Pi Picos is tested under high-RF and high-gradient sequences, and the impact of different microcontroller configurations on image SNR is analyzed. Results: Removing the DC-DC converter from both used microcontroller boards and disabling UART communication to an external computer help preserve MR image SNR. MR scans only slightly impact microcontroller functionality. Impact: This work presents an in-depth characterization of the mutual impact of microcontrollers and MR imaging. Lessons learned from these experiments will help the future implementation of setups employing microcontrollers, e.g. operation of sensors and actuators.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 69%
Iterative Learning Control Systems
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