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.
MDF: Magnetic Particle Imaging Data Format
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abstract
Magnetic particle imaging (MPI) is a tomographic method to determine the spatio-temporal distribution of magnetic nanoparticles. In this document, a file format for the standardized storage of MPI and magnetic particle spectroscopy (MPS) data is introduced. The aim of the Magnetic Particle Imaging Data Format (MDF) is to provide a coherent way of exchanging MPI and MPS data acquired with different devices worldwide. The focus of the MDF is on sequence parameters, measurement data, calibration data, and reconstruction data. The format is based on the hierarchical document format in version 5 (HDF5). This document discusses the MDF version 2.1.0, which is not backward compatible with version 1.x.y.
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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.