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Added Brett et al 2011 citation.
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docs/workflows.rst

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@@ -106,15 +106,16 @@ 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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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. ANTs will use this mask to minimize warping of
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healthy tissue into damaged areas (or vice-versa). Lesion masks should be binary
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NIfTI images (damaged areas = 1, everywhere else = 0) in the same space and
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resolution as the T1 image, and follow the naming convention specified in
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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 [Brett2011]_. ANTs will use this mask to minimize warping of
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healthy tissue into damaged areas (or vice-versa).
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Lesion masks should be binary NIfTI images (damaged areas = 1, everywhere else = 0)
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in the same space and resolution as the T1 image, and follow the naming convention specified in
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`BIDS Extension Proposal 3: Common Derivatives <https://docs.google.com/document/d/1Wwc4A6Mow4ZPPszDIWfCUCRNstn7d_zzaWPcfcHmgI4/edit#heading=h.9146wuepclkt>`_
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(e.g. ``sub-001_T1w_label-lesion_roi.nii.gz``). This file should be placed in
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the ``sub-*/anat`` directory of the BIDS dataset to be run through ``fmriprep``.
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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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.. figure:: _static/T1MNINormalization.svg
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:scale: 100%

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