DTI-TK Releases

Quick Look Plugin 2.3.0

garyhuizhang@www.nitrc.org (Gary Zhang) — Sun, 02 Sep 2018 12:41:00 GMT

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 ([url=http://www.nitrc.org/projects/dtitk]http://www.nitrc.org/projects/dtitk[/url]). 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.

IXI Adult DTI Template 1.1

garyhuizhang@www.nitrc.org (Gary Zhang) — Tue, 14 May 2013 15:55:00 GMT

IXI Adult DTI Template

- Content of the distribution

1) The "template" directory contains

a) the IXI adult template in NIfTI tensor volume format with the number of voxels in each dimension 128x128x64 and the physical dimension of each voxel 1.75x1.75x2.25 mm^3.

b) the brain area mask corresponding to the IXI adult template in 1).

2) The "tsa" directory contains the individually annotated white matter tracts. For each tract, the annotation includes the surface and boundary models in the "fitting/mesh" directory.

3) The "ixi_license" directory contains

the license agreement pertaining to the use of IXI brain database.

IXI Aging DTI Template 3.0

garyhuizhang@www.nitrc.org (Gary Zhang) — Tue, 14 May 2013 12:38:00 GMT

IXI Aging DTI Template

- Content of the distribution

1) The "template" directory contains

a) the IXI aging template in NIfTI tensor volume format with the number of voxels in each dimension 128x128x64 and the physical dimension of each voxel 1.75x1.75x2.25 mm^3.

b) the brain area mask corresponding to the IXI aging template in 1).

2) The "tsa" directory contains the individually annotated white matter tracts. For each tract, the annotation includes

a) the binary segmentation in the root directory of each tract

b) the surface models of different resolutions and their associated boundary models in the "fitting/mesh" directory

c) the very coarse surface models for initializing shape-based normalization in the "fitting/cmrep" directory

3) The "ixi_license" directory contains

the license agreement pertaining to the use of IXI brain database.

4) The "citation" directory contains

the manuscript describing the construction of the template.

MacOSX Binaries 2.3.3 (support OSX 10.6+)

garyhuizhang@www.nitrc.org (Gary Zhang) — Fri, 01 Mar 2013 14:21:00 GMT

DTI-TK is a spatial normalization & atlas construction toolkit, designed from ground up to support the manipulation of diffusion-tensor (DT) images with special cares taken to respect the tensorial nature of the data. It implements a state-of-the-art registration algorithm that drives the alignment of white matter (WM) tracts by matching the orientation of the underlying fiber bundle at each voxel, information available uniquely to DT images. The algorithm has been shown to both improve WM tract alignment and to enhance the power of statistical inference in clinical settings.

The key features include:
1) open standard-based file IO support: NIfTI format for scalar, vector and tensor image volumes
2) tool chains for manipulating tensor image volumes: resampling, smoothing, warping, registration & visualization
3) pipelines for WM morphometry: spatial normalization & atlas construction for population-based studies
4) built-in cluster-computing support
5) binaries available for Linux and Mac OSX
- The Mac OSX universal binary package supports all current mac platforms (10.6+): 32-bit intel, and 64-bit intel.
- The Linux binary packages are compiled on CentOS 4.7 but should be compatible on CentOS 5.x as well provided backward compatible libraries are installed.
For DTI-TK documentation and online support, please join google group @ http://groups.google.com/group/dtitk.

Linux Binaries 2.3.1

garyhuizhang@www.nitrc.org (Gary Zhang) — Fri, 05 Oct 2012 15:58:00 GMT

DTI-TK is a spatial normalization & atlas construction toolkit, designed from ground up to support the manipulation of diffusion-tensor (DT) images with special cares taken to respect the tensorial nature of the data. It implements a state-of-the-art registration algorithm that drives the alignment of white matter (WM) tracts by matching the orientation of the underlying fiber bundle at each voxel, information available uniquely to DT images. The algorithm has been shown to both improve WM tract alignment and to enhance the power of statistical inference in clinical settings. The key features include: 1) open standard-based file IO support: NIfTI format for scalar, vector and tensor image volumes 2) tool chains for manipulating tensor image volumes: resampling, smoothing, warping, registration & visualization 3) pipelines for WM morphometry: spatial normalization & atlas construction for population-based studies 4) built-in cluster-computing support 5) binaries available for Linux and Mac OSX - The Mac OSX universal binary package supports all current mac platform: 32-bit intel, and 64-bit intel. - The Linux binary packages are compiled on CentOS 4.7 but should be compatible on CentOS 5.x as well provided backward compatible libraries are installed. For DTI-TK documentation and online support, please join google group @ http://groups.google.com/group/dtitk.

Documentation web

garyhuizhang@www.nitrc.org (Gary Zhang) — Sun, 21 Jun 2009 8:59:00 GMT