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Quantitative MRI methods improve tissue characterization and allow for better longitudinal assessment, but need efficient and reliable fitting routines. Currently available qMR frameworks, while covering a wide range of applications, suffer either from a relatively low efficiency or require non-trivial compilation steps. Here, we propose an open-source framework for qMR quantification which maintains a good computational efficiency without sacrificing the readability and customizability of the code.
Cencini et al. (Wed,) studied this question.