Keywords: Software Tools, Machine Learning/Artificial Intelligence, MRI ReconstructionDeep learning models outperform traditional methods in terms of quality and speed for numerous medical imaging applications. A critical application is the acceleration of magnetic resonance imaging (MRI) reconstruction, where a deep learning model reconstructs a high-quality MR image from a set of undersampled measurements. For this application, we present the MONAI Recon Module to facilitate fast prototyping of deep-learning-based models for MRI reconstruction. Our free and open-source software is pre-equipped with a baseline and a state-of-the-art deep-learning-based reconstruction model and contains the necessary tools to develop new models. The developed open-source software covers the entire MRI reconstruction pipeline.
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