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Hi,
When using fmriprep (1.0.6), I bumped into an error in the confound workflow. For both aCompCor as well as tCompCor the script failed when trying to extract TR information from the header of the input image. After having a look at the part of the code that threw the error, I think the problem is that nipype uses nibabel's get_xyzt_units()to directly extract the information from the image, rather than the header, so that the script crashes with an AttributeError.
Actual behavior
The script excepts with an ValueError, caused by an AttributeError when running the block:
try:
TR = imgseries.header.get_zooms()[3]
if imgseries.get_xyzt_units()[1] == 'msec':
TR /= 1000
except (AttributeError, IndexError):
TR = 0
if TR == 0:
raise ValueError(
'{} cannot detect repetition time from image - '
'Set the repetition_time input'.format(self._header))
Expected behavior
The line imgseries.get_xyzt_units()[1] == 'msec' should evaluate to true or false
Summary
Hi,
When using fmriprep (1.0.6), I bumped into an error in the confound workflow. For both aCompCor as well as tCompCor the script failed when trying to extract TR information from the header of the input image. After having a look at the part of the code that threw the error, I think the problem is that nipype uses nibabel's
get_xyzt_units()
to directly extract the information from the image, rather than the header, so that the script crashes with anAttributeError
.Actual behavior
The script excepts with an
ValueError
, caused by anAttributeError
when running the block:Expected behavior
The line
imgseries.get_xyzt_units()[1] == 'msec'
should evaluate to true or falsePlease put URL to code or code here (if not too long).
https://github.com/nipy/nipype/blob/master/nipype/algorithms/confounds.py#L535
Platform details:
I ran that code from within fmriprep v1.0.6
I'll send a pull request with a suggested fix.
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