Data privacy protection method and apparatus for magnetic resonance image reconstruction

Abstract

The present invention provides a data privacy protection method for magnetic resonance image reconstruction, including the steps of obtaining original k-space data of an MRI image, randomly masking the original k-space data of the MRI image to obtain masked k-space data, downsampling the masked k-space data to obtain downsampled k-space data, and performing differential privacy security release on the downsampled k-space data to obtain a set of initial reconstruction data. The above steps are repeated until a termination condition is met to obtain multiple sets of initial reconstruction data, and the data provider transmits the multiple sets of initial reconstruction data to a data processing side for processing to obtain final reconstruction data. The present invention also provides a data privacy protection device for magnetic resonance image reconstruction. The method of the present invention solves the privacy protection problem in federated training of MRI image data, solves the problem of insufficient data calculation capabilities on the data provider side, and improves the robustness of the algorithm and the accuracy of the reconstructed image.

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