@@ -12,11 +12,37 @@ structured directory layouts.
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- it's faster than parsesdicomdir or mri_convert if you use dcm2niix option
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- it tracks the provenance of the conversion from DICOM to NIfTI in W3C
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PROV format
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- - the cmrr_heuristic example shows a conversion to [ BIDS] ( http://bids.neuroimaging.io )
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- layout structure
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+ - it provides assistance in converting to [ BIDS]
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+ - it integrates with [ DataLad] to place converted and original data
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+ under git/git-annex version control, while automatically annotating files
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+ with sensitive information (e.g., non-defaced anatomicals, etc)
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+
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+ ### Heuristics
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+
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+ HeuDiConv operates using a heuristic, which provides information on
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+ how your files should be converted. A number of example heuristics are
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+ provided to address various use-cases
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+
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+ - the [ cmrr_heuristic] ( heuristics/cmrr_heuristic.py ) provides an
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+ example for a conversion to [ BIDS]
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+ - the [ dbic_bids] ( heuristics/dbic_bids.py ) could be used to establish
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+ a complete imaging center wide automation to convert all acquired
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+ data to [ BIDS] following a simple naming
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+ [ convention] ( https://goo.gl/o0YASC ) for studies and sequences
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## Install
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+ ### Released versions
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+
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+ Released versions of HeuDiConv are available from PyPI so you could
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+ just ` pip install heudiconv ` but it would require manual installation
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+ of the [ dcm2niix] ( https://github.com/rordenlab/dcm2niix/ ) . On
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+ Debian-based systems we recommend to use
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+ [ NeuroDebian] ( http://neuro.debian.net ) providing
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+ [ heudiconv Debian package] ( http://neuro.debian.net/pkgs/heudiconv.html ) .
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+
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+ ### From source
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+
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You can clone this directory and do a ` make install `
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or ` pip install https://github.com/nipy/heudiconv/archive/master.zip `
@@ -159,3 +185,6 @@ info[some_3-tuple] = [{'item': 12, 'acq': 'AP'},
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{'item': 14, 'acq': 'AP'},
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{'item': 16, 'acq': 'PA'}]
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```
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+
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+ [ BIDS ] : http://bids.neuroimaging.io
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+ [ DataLad ] : http://datalad.org
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