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Fix nibabel import #301
Fix nibabel import #301
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Thank you for your patience, and I would like to ask you another question. Whenever I use ASLprep, I find myself having to download the tpl-MNI152NLin2009cAsym_from-MNI152NLin6Asym_mode-image_xfm.h5 file every time I run the process. Is there a way to avoid repeated downloads? Additionally, I wanted to mention that tomorrow we will be installing ASL sequences based on multi-PLD on our lab GE machine. I was wondering if ASLprep could handle this type of data. I'm looking forward to your response. |
You can pre-cache templates on your machine and then mount the templateflow folder to your container. Since ASLPrep is built off of fMRIPrep, the instructions on this page should work.
I haven't tried out ASLPrep on multi-PLD data from a GE scanner, but I believe it should be fine as long as the sequence is PCASL. We don't have multi-delay PASL supported at the moment (see #272). |
Thanks for your reply and I will try it out. |
We pulled the latest docker version(0.4.0) and replaced the ge.py file, but there were 3 errors reported, what is the reason for this? error1: Node inputs: fixed_image = Traceback (most recent call last): Traceback: error2: Node inputs: explicit_masking = True Traceback (most recent call last): Traceback:
error3: Node inputs: args = Traceback (most recent call last): Traceback: |
@Luoyu-Wang thank you for following up. I have opened a new issue with your traceback and I'll follow up there. |
Closes #300.
Changes proposed in this pull request
nb.processing.smooth_image
with a directfrom nibabel.processing import smooth_image
import.