Keywords: Susceptibility, SusceptibilityA new denoising network, HiFNet, for complex valued multi-echo GRE image denoising, is proposed. This network shared network features hierarchically from the first echo image to the last echo image, utilizing the redundancy in multi-echo GRE images along the echo dimension. When tested with synthetic noise denoising and real-world denoising experiments, the proposed network shows better performance than a network with no featuring or feature sharing in reverse order, demonstrating the effectiveness of the proposed feature sharing.
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