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This release adds overhauls Gaussian smoothing to smooth CSF and non-CSF tissue separately without propagation to minimize CSF contamination. In doing so, we aim to minimize partial volume effect bleeding into dMRI metrics.
Added:
CSF excluded smoothing to minimize partial volume effect (PVE).
Two methods to do this have been implemented - (1) -cf or --csf_fsl
using FSL FAST segmentation, and (2) -cd or --csf_adc n using
pseudo-ADC threshold of more than 2 (ADC > 2).
Various other support functions such as mrpreproc.csfmask() and mrinfoutil.shells() to support CSF masking. These functions can
also be used for other applications
User provided brain mask is now rotated to the same orientation as
input DWI to prevent fitting errors from incorrect masking.
Changed
Overhaul of preprocessing.smoothing to enable NaN-smoothing
B0 volumes are now excluded from IRLLS outlier detection to ensure
there are some minimum volumes present in tensor fitting. This
prevents various fitting errors.
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This release adds overhauls Gaussian smoothing to smooth CSF and non-CSF tissue separately without propagation to minimize CSF contamination. In doing so, we aim to minimize partial volume effect bleeding into dMRI metrics.
Added:
Two methods to do this have been implemented - (1)
-cf or --csf_fsl
using FSL FAST segmentation, and (2)
-cd or --csf_adc n
usingpseudo-ADC threshold of more than 2 (ADC > 2).
mrpreproc.csfmask()
andmrinfoutil.shells()
to support CSF masking. These functions canalso be used for other applications
input DWI to prevent fitting errors from incorrect masking.
Changed
there are some minimum volumes present in tensor fitting. This
prevents various fitting errors.
Removed
This discussion was created from the release Not a turkey but minimizes partial volume effect.
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