A reconstruction method that learns MPI scanner noise with an invertible neural network improves simulated image quality and ships with the MPI-MNIST benchmark dataset.
Magnetic particle imaging for quantification of vascular stenoses: A phantom study
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Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging
A reconstruction method that learns MPI scanner noise with an invertible neural network improves simulated image quality and ships with the MPI-MNIST benchmark dataset.