Release Name: 2.3.0

Notes:
1. Developer

Gary Hui Zhang, garyhuizhang@gmail.com

2. License

The standard DTI-TK license applies: http://www.nitrc.org/projects/dtitk/

3. What Does the Plugin Do?

This plugin uses the Mac OS X Leopard's built-in QuickLook framework to enable a quick assessment of any image volume in the supported image formats. It was initially developed to support convenient and efficient quality assessment of diffusion-weighted images, which can be in the order of 100 for even a single subject. This plugin should allow these images to be examined very quickly to catch clear defects in the images.

4. Installation

To install the plugin, simply copy (drag-and-drop from Finder) the "DTITK_NIfTI_QuickLookPlugin.qlgenerator" either to the directory /Library/QuickLook (if you want to make it available system wide) or to the directory ~/Library/QuickLook (if you want to make it available locally). Create the directory if it does not already exist.

5. Usage

The standard Quick Look usage applies. See the instructions provided by Apple for detail:http://www.apple.com/macosx/features/quicklook.html

6. Supported Image Formats

The quicklook plugin supports the NIFTI-1 format as well as the traditional Analyze format. For multi-component images, the current implementation will display the first component image.
The FreeSurfer MGH file format is also supported, thanks to the contribution by Nick Schmansky.

7. Getting Future Updates

Please join the DTI-TK google group to receive future announcements of bug fixes and/or significant updates, as well as to report bugs, post questions, or make feature requests. http://groups.google.com/group/dtitk

8. Your Support Appreciated

If you enjoy using this nifty NIfTI plugin, please show your support by leaving comments at the NITRC site (http://www.nitrc.org/projects/dtitk). Thanks very much.

9. Acknowledgement

The development of this software is supported by 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.