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T2 Rician noise #204
T2 Rician noise #204
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Estimates image ROI values based upon a Rician noise model rather than Gaussian. No in-depth testing yet carried out, preliminary observations: 1. As expected, the model does fall to zero for long TEs. 2. ROIs with long T2 reach a solution with a large sigma (e.g. ~100 instead of ~10). Tests not yet updated.
The revised algorithm produces slightly different T2 measurements. These have been updated.
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May need additional updates after PR #351 merged into main
due to fundamental updates to __init__.py
and utils
file.
as long as the |
Fixes #104