Dear community,
For the needs of my current research project I have to normalized CT perfusion parametric maps. I have successfully performed this with ANTsPy using the following pipeline:
Tx1 = transformation from raw CT to raw T1
Tx2 = transformation from raw T1 to MNI T1
Apply both transformations to parametric maps.
This works perfectly for most of my data, but for one patient and for a reason that I cannot explain, CT images and parametric maps are not co-registered. (in other words, perfusion maps do not overlap with CT images)
I thought I could add an initial 'Translation' transformation to correct this but surprisingly, I fail to obtain a satisfying outcome.
If anyone has a few hints to share it would be greatly appreciated.
In particular I wonder if there is a way to modify the number of iterations of the translation transformation especially in a specific dimension.
Dear community, For the needs of my current research project I have to normalized CT perfusion parametric maps. I have successfully performed this with ANTsPy using the following pipeline:
I thought I could add an initial 'Translation' transformation to correct this but surprisingly, I fail to obtain a satisfying outcome.
If anyone has a few hints to share it would be greatly appreciated.
In particular I wonder if there is a way to modify the number of iterations of the translation transformation especially in a specific dimension.
Best
Quentin