Give more details when the images cannot be denoised with scrubbing strategy

[htwangtw]

Your idea

When using the scrubbing strategy, the code will check if the number of remaining volumes is smaller than number of regressors before denoisine. This is a constrain of temporal degrees of freedom - if the number of regressors is greater than the number of volumes, it's not possilbe to run a linear regression.
The error message should explain why there's not enough frame.

giga_connectome/giga_connectome/denoise.py

Lines 220 to 231 in ced47b3

	def _check_exclusion(
	reduced_confounds: pd.DataFrame,
	sample_mask: np.ndarray[Any, Any] | None,
	) -> bool:
	"""For scrubbing based strategy, check if regression can be performed."""
	if sample_mask is not None:
	kept_vol = len(sample_mask)
	else:
	kept_vol = reduced_confounds.shape[0]
	# if more noise regressors than volume, this data is not denoisable
	remove = kept_vol < reduced_confounds.shape[1]
	return remove