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Merge tag '23.1.0'
23.1.0 (June 12, 2023) New feature release in the 23.1.x series. This release substantially reworks the resampling to fsLR grayordinate space, better accounting for partial volumes and high variance voxels. If you are resampling using ``--project-goodvoxels``, we strongly recommend upgrading. Fieldmap handling is improved, with better preference given to single-band references in both PEPolar and SyN-SDC schemes. Additionally, fMRIPrep will no longer estimate fieldmaps that are not intended to be used to correct BOLD series, reducing unneeded processing. This release removes ICA-AROMA from the fMRIPrep workflow. To use ICA-AROMA, set ``MNI152NLin6Asym:res-2`` as a target output space. MELODIC and ICA-AROMA can be run on the resulting images in a separate pipeline. For further information on the reasoning behind this change, see `GitHub issue #2936 <https://github.com/nipreps/fmriprep/issues/2936>`__. This release increments the versions of ANTs and FSL bundled in the Docker image. With thanks to Eilidh MacNicol, Basille Pinsard and Taylor Salo for contributions in fMRIPrep and SDCflows. * FIX: Raise RuntimeError at build if echos have mismatched shapes (#3028) * FIX: Inconsistent fmapless estimation when ignoring fieldmaps (#2994) * FIX: Dilate BOLD mask by 2 voxels to prevent over-aggressive masking degrading T2* map estimation (#2986) * FIX: Estimate free memory with "available", not "free" (#2985) * ENH: Add ``--me-t2s-fit-method`` parameter (#3030) * ENH: Resample BOLD to fsLR directly, dropping fsaverage intermediate (#3011) * ENH: Allow SBref+EPI PEPolar fieldmaps to correct BOLD series (#3008) * ENH: Remove ICA-AROMA from workflow and docs (#2966) * RF: Filter fieldmaps based on whether they will be used to correct a BOLD series (#3025) * MNT: Update ANTs pin in Docker image (#3016) * MNT: Update governance docs (#2992) * MNT: Refactor Docker build process (#2982) * MNT: Pin conda environment more strictly (#2853) * MNT: Require niworkflows ~1.3.6 (#2740) * CI: Use registry for layer caching (#3012) * CI: Upgrade docker orb (#2865)
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CHANGES.rst

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23.1.0 (June 12, 2023)
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======================
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New feature release in the 23.1.x series.
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This release substantially reworks the resampling to fsLR grayordinate space,
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better accounting for partial volumes and high variance voxels. If you are
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resampling using ``--project-goodvoxels``, we strongly recommend upgrading.
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Fieldmap handling is improved, with better preference given to single-band
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references in both PEPolar and SyN-SDC schemes. Additionally, fMRIPrep will
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no longer estimate fieldmaps that are not intended to be used to correct BOLD
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series, reducing unneeded processing.
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This release removes ICA-AROMA from the fMRIPrep workflow. To use ICA-AROMA,
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set ``MNI152NLin6Asym:res-2`` as a target output space. MELODIC and ICA-AROMA
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can be run on the resulting images in a separate pipeline. For further
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information on the reasoning behind this change, see
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`GitHub issue #2936 <https://github.com/nipreps/fmriprep/issues/2936>`__.
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This release increments the versions of ANTs and FSL bundled in the Docker
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image.
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With thanks to Eilidh MacNicol, Basille Pinsard and Taylor Salo for contributions
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in fMRIPrep and SDCflows.
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* FIX: Raise RuntimeError at build if echos have mismatched shapes (#3028)
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* FIX: Inconsistent fmapless estimation when ignoring fieldmaps (#2994)
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* FIX: Dilate BOLD mask by 2 voxels to prevent over-aggressive masking degrading T2* map estimation (#2986)
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* FIX: Estimate free memory with "available", not "free" (#2985)
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* ENH: Add ``--me-t2s-fit-method`` parameter (#3030)
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* ENH: Resample BOLD to fsLR directly, dropping fsaverage intermediate (#3011)
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* ENH: Allow SBref+EPI PEPolar fieldmaps to correct BOLD series (#3008)
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* ENH: Remove ICA-AROMA from workflow and docs (#2966)
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* RF: Filter fieldmaps based on whether they will be used to correct a BOLD series (#3025)
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* MNT: Update ANTs pin in Docker image (#3016)
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* MNT: Update governance docs (#2992)
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* MNT: Refactor Docker build process (#2982)
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* MNT: Pin conda environment more strictly (#2853)
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* MNT: Require niworkflows ~1.3.6 (#2740)
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* CI: Use registry for layer caching (#3012)
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* CI: Upgrade docker orb (#2865)
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23.0.2 (April 24, 2023)
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=======================
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Bug fix release in the 23.0.x series.
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This release fixes issues with `_phase1+2`, `_phasediff` and `_fieldmap`
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fieldmap files that are found with an orientation other than RAS.

requirements.txt

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# codecarbon
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# nipype
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# pybids
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codecarbon==2.2.1
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codecarbon==2.2.3
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# via fmriprep (pyproject.toml)
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contourpy==1.0.7
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# via matplotlib
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cycler==0.11.0
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# via matplotlib
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cython==0.29.34
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cython==0.29.35
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# via nitime
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docopt==0.6.2
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# via num2words
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# via nitransforms
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idna==3.4
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# via requests
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imageio==2.28.1
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imageio==2.31.0
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# via scikit-image
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indexed-gzip==1.7.1
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# via smriprep
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# via scikit-image
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lockfile==0.12.2
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# via smriprep
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looseversion==1.1.2
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looseversion==1.2.0
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# via
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# fmriprep (pyproject.toml)
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# nipype
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# svgutils
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mapca==0.0.3
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# via tedana
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markupsafe==2.1.2
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markupsafe==2.1.3
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# via jinja2
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matplotlib==3.7.1
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# via
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# fmriprep (pyproject.toml)
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# niworkflows
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# sdcflows
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niworkflows==1.7.9
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niworkflows==1.8.0
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# via
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# fmriprep (pyproject.toml)
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# sdcflows
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# niworkflows
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# scikit-image
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# smriprep
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pandas==2.0.1
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pandas==2.0.2
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# via
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# codecarbon
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# fmriprep (pyproject.toml)
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# fmriprep (pyproject.toml)
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# nilearn
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# templateflow
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scikit-image==0.20.0
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scikit-image==0.21.0
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# via
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# niworkflows
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# sdcflows
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# scikit-learn
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# sdcflows
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# tedana
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sdcflows==2.4.3
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sdcflows==2.5.1
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# via fmriprep (pyproject.toml)
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seaborn==0.12.2
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# via niworkflows
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sentry-sdk==1.24.0
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sentry-sdk==1.25.1
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# via fmriprep (pyproject.toml)
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simplejson==3.19.1
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# via nipype
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# apscheduler
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# isodate
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# python-dateutil
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smriprep==0.11.1
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smriprep==0.12.0
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# via fmriprep (pyproject.toml)
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sqlalchemy==2.0.15
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# via pybids
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# sdcflows
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transforms3d==0.4.1
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# via niworkflows
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typing-extensions==4.6.0
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typing-extensions==4.6.3
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# via
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# bokeh
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# formulaic
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# via pandas
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tzlocal==5.0.1
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# via apscheduler
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urllib3==1.26.16
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urllib3==2.0.3
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# via
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# requests
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# sentry-sdk

wrapper/src/fmriprep_docker/__main__.py

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MISSING = """
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Image '{}' is missing
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Would you like to download? [Y/n] """
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PKG_PATH = '/opt/conda/lib/python3.9/site-packages'
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PKG_PATH = '/opt/conda/envs/fmriprep/lib/python3.10/site-packages'
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TF_TEMPLATES = (
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'MNI152Lin',
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'MNI152NLin2009cAsym',

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