6
$\begingroup$

I am using nilearn and nipy package for python processing FMRI data. When computing mask, it says:

Compute and write the mask of an image based on the grey level This is based on an heuristic proposed by T.Nichols: find the least dense point of the histogram, between fractions m and M of the total image histogram.

and

This is based on an heuristic proposed by T.Nichols: find the least dense point of the histogram, between fractions lower_cutoff and upper_cutoff of the total image histogram.

In both masking functions of nilearn and nipy. Who is T.Nichols? I wasn't able to google him/her out.

here are the links to the functions:

http://nipy.org/nipy/stable/api/generated/nipy.labs.mask.html

https://nilearn.github.io/building_blocks/generated/nilearn.masking.compute_epi_mask.html

$\endgroup$
  • 1
    $\begingroup$ I think it is potentially this T Nichols $\endgroup$ – StrongBad Nov 24 '14 at 10:35
4
$\begingroup$

I know very little about fmri, but as @strongbad points out, surely it is Professor Thomas Nichols at Warwick.

I'm not sure what the authoritative reference is, but Luo and Nichols (2003) might be worth a look. They state:

We construct a histogram based on all non-tail data (10th to 90th percentile) and use the location of the minimum bin as the antimode estimate.

Luo, W. L., & Nichols, T. E. (2003). Diagnosis and exploration of massively univariate neuroimaging models. NeuroImage, 19(3), 1014-1032. http://www-personal.umich.edu/~nichols/Docs/fMRIvis.pdf

$\endgroup$
  • $\begingroup$ Think @jeromy is correct with respect to the identity. $\endgroup$ – conjectures Jul 27 '16 at 8:56

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.