SCRUB limited by chi-squared values to scans with <= 100 control-label pairs

[tsalo]

Summary

The function _getchisquare relies on hardcoded chi-squared values, which only go up to 100 dof, which means that any scans with more than that number of control-label pairs will raise an error.

I recall trying out different settings in scipy.stats.chi2 calls before, but not being able to figure out where these specific chi-squared values come from, so I need to ask Sudipto Dolui for help.

This stems from https://neurostars.org/t/aslprep-basil-doesnt-work/28631.

Additional details

• ASLPrep version: 0.6.0
• Docker version:
• Singularity version:

What were you trying to do?

Run ASLPrep with scorescrub enabled on dat awith 135 control-label pairs.

What did you expect to happen?

What actually happened?

Traceback:
	Traceback (most recent call last):
	  File "/usr/local/miniconda/lib/python3.9/site-packages/nipype/interfaces/base/core.py", line 397, in run
	    runtime = self._run_interface(runtime)
	  File "/usr/local/miniconda/lib/python3.9/site-packages/aslprep/interfaces/cbf.py", line 745, in _run_interface
	    cbfscrub = _scrubcbf(
	  File "/usr/local/miniconda/lib/python3.9/site-packages/aslprep/utils/cbf.py", line 439, in _scrubcbf
	    thresh1, thresh3 = _getchisquare(y.shape[0])
	  File "/usr/local/miniconda/lib/python3.9/site-packages/aslprep/utils/cbf.py", line 273, in _getchisquare
	    return a[n - 1], b[n - 1]
	IndexError: list index out of range