Super Resolution 4DFlow MRI

<div>In this study, we developed a super resolution deep learning algorithm to enhance spatial resolution of 4D Flow MRI. The neural network was trained using synthetic 4D Flow MRI dataset generated from aortic CFD simulations.</div><div><br></div><div>The network was then tested on actual 4D Flow MRI of a phantom and volunteer data.<br></div><div>You can download the pre-trained 4DFlowNet on this site.<br></div><div>The zip file contains the TF1.8 version. For TF2.0 with Keras please use the HDF5 file pre-trained weights.</div><div><br></div><div><b>Publication:</b></div><div>https://www.frontiersin.org/articles/10.3389/fphy.2020.00138/full</div><div><br></div><div><b>github:</b></div><div>https://github.com/EdwardFerdian/4DFlowNet</div>