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A common use case is to register a time series to a scalar reference, then apply the warp to each volume. Sometimes, users will have different transforms for each volume (say, motion correction in fMRI). Other times, the time series might be very large after resampling into the fixed space. This commit adds an option --time-index, which allows the user to select a particular volume. This is then extracted and transformed as a scalar image.
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Relevant also to dealing with very large images like in #1681 |
ntustison
approved these changes
Oct 3, 2024
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Thanks @cookpa |
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A common use case is to register a time series to a scalar reference, then apply the warp to each volume. Sometimes, users will have different transforms for each volume (say, motion correction in fMRI). Other times, the time series might be very large after resampling into the fixed space.
This commit adds an option --time-index, which allows the user to select a particular volume. This is then extracted and transformed as a scalar image.
Fixes #1555