Merge branch 'nipy-dipy-nibabel' of git://github.com/matthew-brett/nipy-artwork

* 'nipy-dipy-nibabel' of git://github.com/matthew-brett/nipy-artwork:
  First pass at nibabel/dipy/nipy

Conflicts:
	LICENSE

Author: yarikoptic

LICENSE

@@ -17,4 +17,6 @@ Authors
 - Michael Hanke
 - Ariel Rokem
 - Jonathan Peirce
+- Matthew Brett
+- Eleftherios Garyfallidis
 

flier/materials.rst

@@ -4,7 +4,6 @@
 Python in NeuroImaging
 ======================
 
-
 Please provide for every sub-project a brief Description, list of
 Features, some nice figure if you have any.  Hopefully eventually we
 get enough of tasty materials someone could compose into a flier.
@@ -49,13 +48,41 @@ NiBabel
 ~~~~~~~
 http://nipy.org/nibabel
 
+.. figure:: ../pics/reggie.png
+   :alt: nibabel
+   :align: right
+   :figwidth: 35%
+
+Nibabel provides read and write access to some common medical and neuroimaging
+file formats, including: ANALYZE_ (plain, SPM99, SPM2), GIFTI_, NIfTI1_, MINC_,
+as well as PAR/REC. NiBabel is the successor of PyNIfTI_.
+
+.. _ANALYZE: http://www.grahamwideman.com/gw/brain/analyze/formatdoc.htm
+.. _NIfTI1: http://nifti.nimh.nih.gov/nifti-1/
+.. _MINC: http://wiki.bic.mni.mcgill.ca/index.php/MINC
+.. _PyNIfTI: http://niftilib.sourceforge.net/pynifti/
+.. _GIFTI: http://www.nitrc.org/projects/gifti
+
+The various image format classes give full or selective access to header (meta)
+information and access to the image data is made available via NumPy arrays.
+
 Analysis
 --------
 
 NiPy
 ~~~~
 http://nipy.org/nipy
 
+NIPY has algorithms for the analysis of neuroimaging data including:
+
+* General linear model statistical analysis
+* Combined slice time correction and motion correction
+* General image registration routines with flexible cost functions, optimizers
+  and resampling schemes
+* Image segmentation
+* Basic visualization of results in 2D and 3D
+* Basic time series diagnostics
+* Clustering and activation pattern analysis across subjects
 
 Nipype
 ~~~~~~
@@ -91,6 +118,32 @@ DiPy
 ~~~~
 http://nipy.org/dipy
 
+.. figure:: ../pics/dipy-banner.png
+   :alt: nibabel
+   :align: right
+   :figwidth: 35%
+
+Dipy is an international, free and open soure software project for
+diffusion magnetic resonance imaging analysis.
+
+Dipy is multiplatform and will run under any standard operating system such as
+*Windows*, *Linux*, *Mac OS X*.
+
+Just some of our **state-of-the-art** applications are:
+
+- Reconstruction algorithms e.g. GQI, DTI
+- Tractography generation algorithms e.g. EuDX
+- Intelligent downsampling of tracks
+- Ultra fast tractography clustering
+- Resampling datasets with anisotropic voxels to isotropic
+- Visualizing multiple brains simultaneously
+- Finding track correspondence between different brains
+- Warping tractographies into another space e.g. MNI space
+- Reading many different file formats e.g. Trackvis or Nifti
+- Dealing with huge tractographies without memory restrictions
+- Playing with datasets interactively without storing
+- And much more and even more to come in next releases
+
 
 NiTime
 ~~~~~~