1Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan
We checked the performances of different convolutional
encoder decoder (CED), one of the neural networks when synthesizing FLAIR using
T1WI and T2WI. With the shallow CED, the resolution was good but the contrast was
poor, and when the CED became deeper, contrast became better, but the
resolution became worse. Next we also added “skip-connection” to CED, but the
image quality was not improved with the Inception(GoogLeNet)-like parallel skip-connection,
and the image quality improved with the ResNet-like serial skip-connection;
that was a mixture of shallow and deep CED, and resembled the structure of
U-net.
This abstract and the presentation materials are available to members only;
a login is required.
