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@TheJaeger TheJaeger released this 30 Jun 15:14
· 89 commits to master since this release
v1.0-RC10
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Learn about vigilant mode.

This release adds multi TE support for datasets composed of multiple TEs. Concatenated DWI is now preprocessed together, but the tensor fitting regime extracts metric maps for each TE separately. Multi TE support primes PyDesigner for triple diffusion encoding (TDE) datasets.

FBI and FBWM has also been overhauled to make calculations more stable. In some rare instances, rectification of FBI fODFs can degrade them instead. This is particularly true for excellent FBI acquisitions and requires that rectification be disabled with --no_rectify flag.

Thresholds have also been updated to more accurately classify datasets into DTI, DKI or FBI.

Added:

  • Support for multi echo time (TE) datasets. PyDesigner will now
    preprocess DWIs with multiple TEs together, but extract diffusion
    metrics for each TE separately. Users need to parse -te
    flag to enable this feature.
  • Added dwiextract function to mrpreproc.py to allow
    splitting of .mif files.
  • Added function fit_regime to dwipy.py to automatically run
    all tensor fitting steps in an appropriate manner.
  • Added highprecisionpower to dwipy.py to mitigate integer
    overflow error when performing FBI fODF calculation.
  • Flag --no_rectify to disable rectification of FBI fODFs. In
    some cases where FBI acquistion is excellent, rectification can
    degrade fODFs instead. This flag is intended to disable
    rectification of such datasets.

Changed

  • Maximum DKI b-value threshold has been raised to 3,000 mm/s^2,
    thereby enabling DKI support for researchers using b-values higher
    than 2,000 mm/s^2 but less than 3,000 mm/s^2.
  • IRLLS now also includes B0 volumes when evaluating goodness-of-fit
    to make outlier detection more robust and accurate.
  • Various stability patches for FBI and FBWM to ensure error-free
    extraction of FBI/FBWM metrics.

Removed

  • None
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