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Abstract #4860

Deep Learning based Velocity Aliasing Correction for 4D Flow MRI

Haben Berhane1, Hassan Haji-Valizadeh2, Joshua Robinson1, Michael Markl2, and Cynthia Rigsby1

1Lurie Childrens Hospital of Chicago, Chicago, IL, United States, 2Northwestern University, Chicago, IL, United States

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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