Randomized controlled trial achieves <4% variation in knee MRI across 10 scanners, indicating robust quality assurance methods.
Motivation: Quantitative MRI measurements require careful quality assurance due to their sensitivity to factors such as B0 and B1 inhomogeneity. Goal(s): Set up a robust and rigorous workflow for QA using a novel MSK MRI relaxometry phantom. Approach: The phantom was used to standardize the scan protocol and harmonize scanner-related variations of a total of ten 3-Tesla MR scanners (two vendors: GE and Siemens) from nine sites of the PIKASO trial. Results: We were able to achieve less than 4% inter-site inter-vendor coefficient of variation (CV) with inversion recovery T1, single-echo spin-echo T2, and MAPSS T2 and T1rho. Impact: We established a QA process for knee MRI relaxometry using a novel MSK relaxometry phantom for large-scale multi-site studies. By identifying discrepancies in measurements during the study, the QA process will ensure data quality in multi-site studies.
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Kim et al. (2025) studied this question.
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