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Abstract #0978

Development of an open-source, MRI-compatible grip force sensor for dynamic muscle MRI

Sabine Melanie Räuber1,2, Marta Brigid Maggioni1,2, Pavlos Panos2,3, and Francesco Santini1,2
1Basel Muscle MRI (BAMM), Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland, 2Radiological Physics, University Hospital of Basel, Basel, Switzerland, 3Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland

Synopsis

Keywords: Functional/Dynamic, Muscle

Motivation: Synchronising dynamic MRI acquisitions with physical force measurements enables standardised and normalised assessment of muscle activity, but requires ad hoc sensors compatible with the MR environment.

Goal(s): Our goal was to develop an open-source, MRI-compatible grip force sensor for dynamic muscle MRI.

Approach: Phantom and invio measurements with and without the sensor, with dynamic and anatomical scans, were performed in a 3T MRI to assess sensor compatibility, impact on field homogeneity, and potential SNR deviations.

Results: The grip force sensor maintained functionality with an additional low-pass filter installed in the waveguide. The SNR decreased slightly by 3.7 % during the scans.

Impact: The low-cost, open-source grip force sensor demonstrated excellent MRI compatibility and therefore appears to be suitable for use with dynamic muscle MRI methods to characterise forearm flexors, with potential applications in the study of myotonic dystrophy.

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