Dear all!
To optimize memory consumption or make it work at all for e.g. permutation statistics using randomise it is sometimes necessary to reduce the field-of-view of the data if it is really(!) large.
Using fslroi one can cut part of the data away, but my question is: What do I do afterwards, when the statistics is done and I want to assess the results with e.g. atlasquery? Most tools in FSL are FOV-sensitiv, but I can't see a way to "reset" the FOV of the result data to the original one.
It can't be the way to change all atlases or custom mask files to the new FOV.
What kind of workflow do you have in this not-so-special-anymore case? As many studies now are kind of big-data and the available memory of a workstation will always be limited, any ideas to overcome this problem would be more than welcome.
Best regards,
Martin
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http://www.baltic-imaging-center.de/
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