Neural Network for Reconstruction of MPI Images


In Magnetic Particle Imaging the reconstruction of the image given the voltage signal is not trivial. Since the system function cannot be measured in its entirety the reconstruction algorithms can only estimate the images. The standard reconstruction approaches usually rely on time consuming optimization concepts that involve the use of sophisticated priors. We studied the general possibility of learning the reconstruction with neural networks. The results reveal that the networks potentially can reconstruct the images while even learning priors. However, the structures used for harvesting the training data should be chosen wisely.
Original languageEnglish
Number of pages2
Publication statusPublished - 01.03.2019
Event9th International Workshop on Magnetic Particle Imaging
- New York University, New York , United States
Duration: 17.03.201919.03.2019


Conference9th International Workshop on Magnetic Particle Imaging
Abbreviated titleIWMPI 2019
Country/TerritoryUnited States
CityNew York
Internet address


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