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Most available sensors are expensive, rely on non-free software or are MR-incompatible This work presents an open-source, low-cost, MR-compatible grip force sensor as a viable alternative to commercial devices.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Materials and Methods<\/jats:title>\n            <jats:p>Phantom measurements were performed with and without the sensor at a 3T MRI to assess the MRI compatibility and its impact on image quality, field homogeneity and signal-to-noise ratio (SNR). Furthermore, the force sensor was integrated into a dynamic MRI setup with NMES and applied in vivo to four subjects.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>The force sensor demonstrated good compatibility with a 3\u00a0T MRI scanner, exhibiting minimal SNR reduction and minimal increase in B<jats:sub>0<\/jats:sub> inhomogeneities in phantom measurements.  During dynamic MRI with\u00a0NMES, a 2D in-plane phase-contrast MRI sequence successfully retrieved the muscle\u2019s velocity field, proving effective for dynamic MRI applications, while preserving image quality.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Discussion<\/jats:title>\n            <jats:p>The design of the force sensor, building instructions and software are publicly released as open source. This allows the proposed sensor\u00a0to be adapted in multiple applications where grip force needs to be recorded in an MR scanner.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1007\/s10334-025-01282-y","type":"journal-article","created":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T10:05:41Z","timestamp":1753437941000},"page":"717-725","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Open-source, MRI-compatible grip force sensor for dynamic muscle imaging"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5852-1490","authenticated-orcid":false,"given":"Sabine","family":"R\u00e4uber","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Regina","family":"Schlaeger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marta Brigid","family":"Maggioni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Santini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,25]]},"reference":[{"key":"1282_CR1","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1159\/000524734","volume":"56","author":"Q Liao","year":"2022","unstructured":"Liao Q, Zhang Y, He J, Huang K (2022) Global prevalence of myotonic dystrophy: an updated systematic review and meta-analysis. 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