[Blends-commit] r2599 - in /projects/med/trunk/debian-med/tasks: imaging imaging-dev

[yoh at users.alioth.debian.org]

Author: yoh
Date: Mon Jan 17 20:18:27 2011
New Revision: 2599

URL: http://svn.debian.org/wsvn/blends/?sc=1&rev=2599
Log:
injected dipy

Modified:
    projects/med/trunk/debian-med/tasks/imaging
    projects/med/trunk/debian-med/tasks/imaging-dev

Modified: projects/med/trunk/debian-med/tasks/imaging
URL: http://svn.debian.org/wsvn/blends/projects/med/trunk/debian-med/tasks/imaging?rev=2599&op=diff
==============================================================================
--- projects/med/trunk/debian-med/tasks/imaging (original)
+++ projects/med/trunk/debian-med/tasks/imaging Mon Jan 17 20:18:27 2011
@@ -969,3 +969,33 @@
  .
  pyxid handles all of the low level device handling for XID devices in
  python projects.
+
+ ; Added by blends-inject 0.0.7. [Please note here if modified manually]
+Recommends: python-dipy
+Why: Although listed in -dev task, it also has a strong focus on interactive
+ data analysis.
+Homepage: http://nipy.org/dipy
+Language: Python
+WNPP: 610347
+Responsible: NeuroDebian Team <team at neuro.debian.net>
+License: BSD
+Vcs-Browser: http://github.com/neurodebian/dipy
+Vcs-Git: git://github.com/neurodebian/dipy.git
+Pkg-Description: toolbox for analysis of MR diffusion imaging data
+ Dipy is a toolbox for the analysis of diffusion magnetic resonance
+ imaging data. It features:
+  - 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
+Published-Authors: Garyfallidis E, Brett M, Tsiaras V, Vogiatzis G, Nimmo-Smith I
+Published-In: Proc. Intl. Soc. Mag. Reson. Med. 18
+Published-Title: Identification of corresponding tracks in diffusion MRI tractographies
+Published-Year: 2010

Modified: projects/med/trunk/debian-med/tasks/imaging-dev
URL: http://svn.debian.org/wsvn/blends/projects/med/trunk/debian-med/tasks/imaging-dev?rev=2599&op=diff
==============================================================================
--- projects/med/trunk/debian-med/tasks/imaging-dev (original)
+++ projects/med/trunk/debian-med/tasks/imaging-dev Mon Jan 17 20:18:27 2011
@@ -193,3 +193,31 @@
   - read and write access to resources
   - complex searches
   - disk-caching of requested files and resources
+
+ ; Added by blends-inject 0.0.7. [Please note here if modified manually]
+Depends: python-dipy
+Homepage: http://nipy.org/dipy
+Language: Python
+WNPP: 610347
+Responsible: NeuroDebian Team <team at neuro.debian.net>
+License: BSD
+Vcs-Browser: http://github.com/neurodebian/dipy
+Vcs-Git: git://github.com/neurodebian/dipy.git
+Pkg-Description: toolbox for analysis of MR diffusion imaging data
+ Dipy is a toolbox for the analysis of diffusion magnetic resonance
+ imaging data. It features:
+  - 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
+Published-Authors: Garyfallidis E, Brett M, Tsiaras V, Vogiatzis G, Nimmo-Smith I
+Published-In: Proc. Intl. Soc. Mag. Reson. Med. 18
+Published-Title: Identification of corresponding tracks in diffusion MRI tractographies
+Published-Year: 2010