Announcement: NIfTI Quick Look Plugin for Mac OS X Leopard Available

[Gary]

Dear fellow ITK-SNAP users,

I'm pleased to announce the availability of a quicklook plugin for
NIfTI and Analyze images for Mac OS X Leopard, a perfect companion for
ITK-SNAP on Mac. It uses the Leopard's innovative Quick Look
framework to enable a quick glimpse of any 3-D images in the NIfTI or
Analyze formats directly in the Finder, before you decide to open and
examine it more carefully with ITK-SNAP.

More importantly, the plugin is motivated by a common need in
neuroimaging -- quality control of a large set of images after the
completion of some batch processing pipeline. This plugin should make
this step, important in any studies but often laborious and time-
consuming, a whole lot easier.

To see the plugin in action, please check out the two screenshots
available from the links below:

-- Screenshot 1 shows that browsing and quickly inspecting a large
collection of T1 images in the Finder with the Cover Flow mode can be
just as easy as flipping through photos (jpeg, gif, png, etc). This
should make initial image screening for apparent artifacts in the data
a much more pleasant experience.

http://www.nitrc.org/project/list_screenshots.php?group_id=207&screenshot_id=118

-- Screenshot 2 illustrates the fullscreen preview of a large set of
images that should be invaluable for comparison across images, before,
during, and after your favorite processing pipelines.

http://www.nitrc.org/project/list_screenshots.php?group_id=207&screenshot_id=119

The plugin is part of the DTI-TK package and can be downloaded from
its NITRC website:
http://www.nitrc.org/projects/dtitk

To be informed of future update of the plugin, please join the DTI-TK
google group:
http://groups.google.com/group/dtitk

If you find it useful, you are welcome to leave comments in the
discussion forum:
http://www.nitrc.org/forum/forum.php?forum_id=871

The development of this plugin is made possible by the Penn Image
Computing and Science Laboratory (PICSL) and the National Institute of
Biomedical Imaging and Bioengineering (NIBIB) & the NIH Blueprint for
Neuroscience through the grant R03-EB009321.

Best regards,

Gary Hui Zhang