NeuralBloch
Neural network surrogate model for Bloch simulations in MR-STAT
Online Reconstructions for Accelerated MRI Exams
The ORACLE project aims to revolutionize MRI by enabling fast, quantitative, and standardized imaging through advanced computational techniques. Building on the success of MR-STAT, our team will develop new algorithms and open-source software to dramatically accelerate MRI data reconstruction, making real-time analysis possible during patient scans. By combining machine learning, high-performance GPU computing, and innovative mathematical methods, we will reduce scan times and improve diagnostic quality for a wide range of clinical applications. The project brings together experts in scientific computing, medical imaging, and software engineering, and will deliver sustainable, open-access tools for researchers, clinicians, and industry partners. ORACLE’s outcomes will support more efficient, patient-tailored MRI protocols, foster collaboration across institutions, and set new standards for reproducible and accessible medical imaging research.
A Computational Answer to the Soaring MRI demand
Neural network surrogate model for Bloch simulations in MR-STAT