@@ -126,6 +126,14 @@ in a multiscale, mutual-information based, nonlinear registration scheme.
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In particular, spatial normalization is done using the `ICBM 2009c Nonlinear
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Asymmetric template (1×1×1mm) <http://nist.mni.mcgill.ca/?p=904> `_ [Fonov2011 ]_.
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+ .. figure :: _static/T1MNINormalization.svg
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+ :scale: 100%
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+
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+ Animation showing T1w to MNI normalization
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+
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+ Cost function masking during spatial normalization
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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+
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When processing images from patients with focal brain lesions (e.g. stroke, tumor
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resection), it is possible to provide a lesion mask to be used during spatial
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normalization to MNI-space [Brett2001 ]_.
@@ -137,11 +145,12 @@ in the same space and resolution as the T1 image, and follow the naming conventi
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(e.g. ``sub-001_T1w_label-lesion_roi.nii.gz ``).
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This file should be placed in the ``sub-*/anat `` directory of the BIDS dataset
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to be run through ``fmriprep ``.
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+ Because lesion masks are not currently part of the BIDS specification, it is also necessary to
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+ include a ``.bidsignore `` file in the root of your dataset directory. This will prevent
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+ `bids-validator <https://github.com/bids-standard/bids-validator#bidsignore >`_ from complaining that your dataset not BIDS valid, which prevents
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+ ``fmriprep `` from running. Your ``.bidsignore `` file should include the following line::
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- .. figure :: _static/T1MNINormalization.svg
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- :scale: 100%
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-
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- Animation showing T1w to MNI normalization
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+ *lesion_roi.nii.gz
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Longitudinal processing
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