@@ -40,8 +40,8 @@ store it, so it is easy to lose metadata and make analysis errors; see
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:ref: `biap6 `.
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We plan to expand Nibabel's API to encode axis and tick labels by integrating
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- the Xarray package: ` http://xarray.pydata.org `_. Xarray simplifies HDF5
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- serialization, and visualization; see ` https://napari.org `_ .
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+ the ` Xarray package < http://xarray.pydata.org > `_. Xarray simplifies HDF5
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+ serialization, and visualization; see https://napari.org.
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An API for labels is not useful if we cannot read labels from the scanner
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data, or save them with the image. We plan to:
@@ -67,10 +67,12 @@ API for surface data
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Neuroimaging data often refers to locations on the brain surface. There are
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three common formats for such data: GIFTI, CIFTI and Freesurfer. Nibabel can
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read these formats, but lacks a standard API for reading and storing surface
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- data with metadata; see `https://github.com/nipy/nibabel/issues/936 `_,
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- `https://github.com/nilearn/nilearn/issues/2171 `_. We plan to develop
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- a standard API, apply it to the standard formats, and design an efficient
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- general HDF5 storage container for serializing surface data and metadata.
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+ data with metadata; see
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+ `nipy/nibabel#936 <https://github.com/nipy/nibabel/issues/936 >`_,
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+ `nilearn/nilearn#2171 <https://github.com/nilearn/nilearn/issues/2171 >`_.
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+ We plan to develop a standard API, apply it to the standard formats,
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+ and design an efficient general HDF5 storage container for serializing surface
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+ data and metadata.
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Range
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