DTI-TK News

New DTI-TK QuickLook Plugin for NIfTI released

Gary Hui Zhang — Tue, 04 Sep 2018 1:28:58 GMT

Dear all,

I'm pleased to announce the release of version 2.3.0 of the DTI-TK QuickLook Plugin for NIfTI and other 3-D medical imaging data.

The key new feature is an adjustable setting for the maximum memory allowed. The instructions to adjust this setting can be found here:

http://dti-tk.sourceforge.net/pmwiki/pmwiki.php?n=QuicklookPlugin.Main

Gary

DTI-TK helps to reveal longitudinal white matter changes in FTD

Gary Hui Zhang — Wed, 05 Nov 2014 10:15:46 GMT

A new study from UCL Dementia Research Centre used DTI-TK, in particular its unbiased longitudinal processing pipeline, to reveal longitudinal white matter changes in frontotemporal dementia. The study appeared in one of the top neurological journals: Annals of Neurology:

http://onlinelibrary.wiley.com/doi/10.1002/ana.24296/abstract

DTI-TK recommended for tract-based spatial statistics (TBSS)

Gary Hui Zhang — Wed, 13 Aug 2014 10:10:00 GMT

A recent NeuroImage article entitled "Methodological considerations on tract-based spatial statistics (TBSS)" recommends the use of DTI-TK to improve the popular tract-based spatial statistics (TBSS) analysis pipeline. An online tutorial is available for users interested in integrating DTI-TK into the TBSS pipeline.

Link to the article: http://www.sciencedirect.com/science/article/pii/S1053811914004984

Link to the tutorial: http://dti-tk.sourceforge.net/pmwiki/pmwiki.php?n=Documentation.TBSS

Gary

DTI-TK officially listed as a FSL plugin

Gary Hui Zhang — Fri, 22 Feb 2013 6:12:16 GMT

Dear all,

Pleased to announce that DTI-TK is now officially listed as a FSL plugin. Through the two-way interoperability support provided by DTI-TK, FSL users can continue to take advantage of the powerful tract-based spatial statistics (TBSS) framework with the additional benefit of the state-of-the-art tensor-based DTI registration powered by DTI-TK.

For detail, please visit

http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Plugins

Gary

Introducing a longitudinal DTI analysis pipeline with DTI-TK

Gary Hui Zhang — Tue, 05 Feb 2013 4:41:15 GMT

Dear all,

I'm extremely excited to report that DTI-TK now delivers a major new application area:

Unbiased longitudinal DTI analysis.

This new framework is the first to apply our state-of-the-art tensor-based registration to accurately quantify longitudinal changes of tissue microstructure as assessed by DTI.

The framework is reported in our Neuroimage paper (in press):

http://dx.doi.org/10.1016/j.neuroimage.2013.01.044

Our evaluation demonstrates its superior specificity and sensitivity, which can be particular important for detecting early changes in many neurological disorders, such as dementia.

Gary

Standardized vs Study-Specific DTI templates

Gary Hui Zhang — Sun, 07 Oct 2012 2:09:21 GMT

Recent research has generally advocated the use of study-specific templates, for spatial normalization, over standardized ones. The standardized template, although not always as accurate as one's own study-specific template, does offer substantial benefit in computational efficiency, as the latter will require an expensive iterative bootstrapping construction. So a useful question to ask here is whether there are circumstances the standardized template may offer a satisfactory alternative to study-specific ones. This is precisely what Shengwei Zhang and Konstantinos Arfanakis, from Illinois Institute of Technology, have investigated in their recent article "Role of standardized and study-specific human brain diffusion tensor templates in inter-subject spatial normalization" in Journal of Magnetic Resonance Imaging. If you are interested in knowing what they found, please click the link below:

http://onlinelibrary.wiley.com/doi/10.1002/jmri.23842/abstract

Gary

DTI-TK used to understand young children with autism

Gary Hui Zhang — Sat, 01 Sep 2012 12:47:43 GMT

A recent paper to appear in the prestigious journal of Biological Psychiatry examines young children with autism with diffusion tensor imaging. The paper is led by Lindsay Walker from Dr. Carlo Pierpaoli's group at NIH. The authors used DTI-TK for spatial normalization of diffusion tensor imaging data.

The paper can be found here: http://dx.doi.org/10.1016/j.biopsych.2012.08.001

Gary

DTI-TK used to detect WM changes before onset of psychosis

Gary Hui Zhang — Fri, 06 Apr 2012 9:16:59 GMT

A team from the Institute of Psychiatry, King's College London, used DTI-TK to help their investigation into pre-symptomatic brain changes in patients with psychosis. Their paper entitled "Alterations in White Matter Evident Before the Onset of Psychosis" is to appear in the prestigious journal of Schizophrenia Bulletin. For people who are interested, the link to the paper is attached below:

http://schizophreniabulletin.oxfordjournals.org/content/early/2012/04/03/schbul.sbs053.abstract

Gary

DTI-TK used to study vision loss in MS & optic neuritis

Gary Hui Zhang — Wed, 18 Jan 2012 10:58:23 GMT

A team from Monash University of Australia used DTI-TK to investigate visual impairment in multiple sclerosis and optic neuritis. Their paper entitled "Diffusion tensor imaging correlates of visual impairment in multiple sclerosis and chronic optic neuritis" is to appear in Investigative Ophthalmology & Visual Science, a top-ranked journal in the field of Ophthalmology. For interested readers, the full paper can be accessed with the following link:

http://www.iovs.org/content/early/2012/01/10/iovs.11-8864.abstract

Gary

DTI-TK used to understand brain integrity after stroke

Gary Hui Zhang — Sat, 14 Jan 2012 3:18:28 GMT

A team from NIH used DTI-TK to help their investigation into the functional and structural integrity in patients suffering chronic stroke. Their paper entitled "Parietofrontal integrity determines neural modulation associated with grasping imagery after stroke" is to appear in the highly prestigious journal of Brain. For people who are interested, the link to the paper is attached below:

http://brain.oxfordjournals.org/content/early/2012/01/08/brain.awr331.abstract

Gary