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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!
The text was updated successfully, but these errors were encountered:
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!
The text was updated successfully, but these errors were encountered: