I would like to reproduce the results for the described task of MRI Translation, however, I find it difficult to find a complete pipeline to do this. I have downloaded the T1 and T2 data from the IXI Dataset website. You reference your other repo as the guideline for reproducing the results, however, I am still unsure about the data preparation steps taken. The T1 images are [256, 256, 150] dimension and the T2 images are [256,256,130] dimension. From the network code, it does not seem like you are using any 3D Convolutions, but I also cannot find how you convert the images to a suitable input for a 2D Conv model, because I don't think the base model you are using would have >100 input channels.
Therefore, I am hoping that you can point out what the other preprocessing steps are and what the actual input and output dimensions of the expected model are?
Thanks in advance!
I would like to reproduce the results for the described task of MRI Translation, however, I find it difficult to find a complete pipeline to do this. I have downloaded the T1 and T2 data from the IXI Dataset website. You reference your other repo as the guideline for reproducing the results, however, I am still unsure about the data preparation steps taken. The T1 images are [256, 256, 150] dimension and the T2 images are [256,256,130] dimension. From the network code, it does not seem like you are using any 3D Convolutions, but I also cannot find how you convert the images to a suitable input for a 2D Conv model, because I don't think the base model you are using would have >100 input channels.
Therefore, I am hoping that you can point out what the other preprocessing steps are and what the actual input and output dimensions of the expected model are?
Thanks in advance!