Please use the launcher scripts in ${GitRepo}/Examples and don’t modify the pipelines themselves unless you know what you are doing (i.e. have read and understood the code). Only the code in examples is intended for you to modify.
Peace,
Matt.
From: Jennifer Elam
Yes, to my knowledge, Workbench (wb_view) and wb_command are the only tools that support reading CIFTI data currently, which is based on the NIFTI-2 format (that's why the extension ends in .nii, but the part prior to the .nii-- i.e., .dtseries.nii --
is the clue that it isn't standard NIFTI
Dear MH
Thank you so much for your help.I have one more question if that's ok...I am
trying to work with compact data (gray ordinate time series data). However,as I
proceed to open them with mri cro(and mri cron) the following error prompts:
The header file is not in Analyze format [the first 4 b
From: hcp-announce-boun...@humanconnectome.org
[mailto:hcp-announce-boun...@humanconnectome.org]
Sent: Monday, October 13, 2014 9:39 AM
To: e...@wustl.edu
Subject: Forward of moderated message
Hello,
thank you all for publishing this extensive set of image processing scripts.
I've go
Hi Sam,
The HCP diffusion data was collected with the b-values interleaved throughout
each run. You might want to search the HCP-Users archive for more
information/answers to questions on this. Specifically, here’s a relevant
thread with a link to the reference with details on the data:
http:/
Hi,
For Workbench and 'wb_command', I'd suggest that you start with the documentation and tutorials available at:
http://humanconnectome.org/software/
If you are not familiar with CIFTI and the outputs we provide, it sounds like you would also benefit by reviewing:
http://humanconnectome.o
Hi,
You are going to have a hard time working with the resting state volume data in matlab.
I'd suggest using the CIFTI/grayordinate versions of the data (which are much more compact) and starting to familiarize yourself with the capabilities of Workbench and 'wb_command'. In my experience,
Hi Mahsa,
I think you are going to have to be more specific for anyone to be able to help you. What is your goal? And what tools are you using and how are you trying to apply the masking. For example, if you are trying to work with the resting state volume
data in Matlab/SPM, you may f
Dear allHi
I'm working on the rest fmri data(fix extended) and I have a problem regarding
masking. Since the data is very large (4D image with 1200 volumes), I could not
apply masking.Could you please help me on this matter?Many thanks in
advance.Ps:I have 8 G of RAM available.
Best,mahsa
_
Hi Priyank,
If you go more deep into the folders inside MNINonLinear, you will arrive
at compressed (.gz) files having size of around 1GB. It will be evident
from the filename that it is the resting state data. Unzip it and use.
You can refer to the HCP500 reference manual for complete details:
h
Hi Priyank,
If you go more deep into the folders inside MNINonLinear, you will arrive
at compressed (.gz) files having size of around 1GB. It will be evident
from the filename that it is the resting state data. Unzip it and use.
You can refer to the HCP500 reference manual for complete details:
h
Hi,
I just downloaded 100 subject data for resting state analysis (part of 500
data set). After extracting the compressed files, I get 3 folders in each
subject.
Str
REST_fix
REST_preproc
Each of these folders contain MNINonLinear and release-notes subfolders and Str
has T1w subfolder too.
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