[0.7] - 2023-05-20
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Breaking changes in the command line parser
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The previously required options N and angular_block_size are now optional.
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A mask is now required to be passed with -m or --mask to only sample data. It was previously possible to be unlucky and only sample background noise in the reconstruction process, taking forever to practically do nothing in practice, passing a mask with only the data to sample and reconstruct should prevent this issue.
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A new call would now looks like
nlsam_denoising input output bvals bvecs -m mask.nii.gz
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New command line arguments, now subclassed into categories.
- --load_mhat file, to load a volume for initializing the bias correction, the default is to use the data itself.
- --save_difference file, to save a volume showing the removed signal parts as abs(original_data - denoised_data)
- --save_eta file, to save the result of the estimated underlying signal value for debugging purposes.
- Deprecation of options --implausible_signal_fix and --sh_order, use --load_mhat instead for initialization.
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Support for non-integer values of N.
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Support for supplying a volume to be loaded as values of N.
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New module nlsam.bias_correction, which contains an easier to use interface to the C functions in nlsam.stabilizer
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New online documentation available at http://nlsam.readthedocs.io/ for the current (and future) versions.
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The dictionary learning part of the algorithm now respects --cores instead of ignoring it and always using all available processors.
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joblib is now used for parallel processing.
- The frozen executable is now using dask and performs a bit slower than the normal version until joblib.loky is fixed to work with pyinstaller.
- Binary wheels are now available for all platforms instead.
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A new option to estimate automatically the noise distribution (sigma and N) is now available by passing auto to both N and --noise_est.
- This option is also the new default now.
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A new option to process each shell separately is now available with --split_shell.
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Probably other stuff I forgot.