We developed a convolutional neural network to detect and correct velocity aliasing in 4D Flow datasets. Our network uses an Unet architecture and was trained, validated, and tested on 100, 10, and 100 datasets respectively. It was able to detect as many or more phase wrapped voxels compared to the conventional algorithm and performed better on highly aliased regions of the dataset.
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