ArticleNMR in biomedicine2026
MRpro: Open Framework for Model-Based, Learned, and Quantitative MR Imaging-Application to Low-Field MRI.
Article in NMR in biomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
MRpro is an open-source framework for MR image reconstruction and quantitative parameter estimation, with particular relevance to low-field MRI. Built on PyTorch, it supports modern deep-learning reconstructions and standardized data exchange through ISMRMRD for raw k-space data and DICOM and NIfTI for reconstructed images and parameter maps. This facilitates integration into existing pipelines and the use of data from different devices. MRpro provides unified data structures for the consistent manipulation of MR datasets and associated metadata, together with a library of composable operators, proximable functionals, and optimization algorithms. The operator library includes a unified Fourier operator for all common trajectories and operators specifically developed for low-field applications, such as a B
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