Ratings & Reviews   User Reviews  ( 14 )   
Overall: 4.5 out of 5Installation: 4.5 out of 5Documentation: 4.5 out of 5
Individual Rating Results for JIST: Java Image Science Toolkit

Review 14 of JIST: Java Image Science Toolkit on Jan 22, 2010
Version Reviewed:  1.6
Overall Ease vs. Functionality:  5 out of 5
Download/Installation Ease:  5 out of 5
Documentation/Support Quality:  5 out of 5
Ratings/Long-term Prospects Comments:  As far as running data through an algorithm pipeline goes, this is probably the best tool I've seen out there. The visual layout tool, along with an array of useful algorithms(including anything in MIPAV via the script adapter) lets you run literally thousands of datasets with just one initial setup.
Review 13 of JIST: Java Image Science Toolkit on Dec 21, 2009
Version Reviewed:  Beta 1.5
Overall Ease vs. Functionality:  4 out of 5
Download/Installation Ease:  5 out of 5
Documentation/Support Quality:  5 out of 5
Ratings/Long-term Prospects Comments:  In application support for visualization would be great, that way i will not have to start another program to view the results of my pipeline. Some sort of unit testing support for algorithms would be awesome.
Other Comments/Similar Tools:  The tool does what it advertises and more. A lot of potential this tool has.
Review 12 of JIST: Java Image Science Toolkit on Dec 21, 2009
Version Reviewed:  JIST, most recent version
Overall Ease vs. Functionality:  5 out of 5
Download/Installation Ease:  4 out of 5
Documentation/Support Quality:  3 out of 5
Other Comments/Similar Tools:  There’s enormous potential for this product in my research. The tutorials were very helpful, but more documentation should be developed. Additional I’d appreciate additional resources for algorithm validation.
Review 11 of JIST: Java Image Science Toolkit on Dec 20, 2009
Overall Ease vs. Functionality:  5 out of 5
Download/Installation Ease:  5 out of 5
Documentation/Support Quality:  5 out of 5
Other Comments/Similar Tools:  I am very pleased with the ability to integrate other tools and individualized programs. I would appreciate some spectroscopy tools along the lines of LCModel.
Review 10 of JIST: Java Image Science Toolkit on Dec 20, 2009
Version Reviewed:  1.5
Overall Ease vs. Functionality:  5 out of 5
Download/Installation Ease:  4 out of 5
Documentation/Support Quality:  5 out of 5
Ratings/Long-term Prospects Comments:  Overall the resource is incredibly useful for our research. The installation process is a work in progress since it is not immediately obvious that folder permissions can produce unexpected outcomes. The documentation on NITRC has been useful but requires a bit of expansion to cover more aspects of JIST. The online support is very responsive to bugs/feature requests.
Review 9 of JIST: Java Image Science Toolkit on Dec 17, 2009
Version Reviewed:  1.5
Overall Ease vs. Functionality:  4 out of 5
Download/Installation Ease:  5 out of 5
Documentation/Support Quality:  4 out of 5
Ratings/Long-term Prospects Comments:  This is one of the most outstanding image processing tools. It's still early in its development, and the developing team is clearly working hard to improve it.
Other Comments/Similar Tools:  Significant improvements would include better documentation and validation of the algorithms. Some of the error messages could be more helpful. Easier manipulation of the input and output would also be more important.
Review 8 of JIST: Java Image Science Toolkit on Dec 17, 2009
Version Reviewed:  latest build
Overall Ease vs. Functionality:  5 out of 5
Download/Installation Ease:  5 out of 5
Documentation/Support Quality:  4 out of 5
Ratings/Long-term Prospects Comments:  I have been and continue to be very excited by this project. I work with a number of clinicians and clinical scientists using advanced quantitative MRI data. It is so very handy to have a "one stop shop" for data analysis. This increases the throughput and the quality control. Very happy with the tools. Additionally with the new inline processing ability on our MRI scanners, I look forward to implenting JIST directly on the scanner for data processing prior to passing the data off to other hands.
Other Comments/Similar Tools:  As the tools for quantitative MRI grows daily, it is very handy to have an open source, highly modular development environment. I look forward to further support for new demands, but currently see no recognizeable advancement that is necessary. Already a well packaged, easy to use set of tools.
Review 7 of JIST: Java Image Science Toolkit on Dec 17, 2009
Version Reviewed:  1.5 or latest
Overall Ease vs. Functionality:  5 out of 5
Download/Installation Ease:  5 out of 5
Documentation/Support Quality:  5 out of 5
Ratings/Long-term Prospects Comments:  Tool is very well written. I used it to batch process many datasets for quantification of T1, T2, and various DTI parameters. It completed the job accurately and efficiently without using too much of my computer's resources.
Other Comments/Similar Tools:  This would be even more useful if we could add some ASL processing tools on there.
Review 6 of JIST: Java Image Science Toolkit on Dec 16, 2009
Version Reviewed:  latest build
Overall Ease vs. Functionality:  4 out of 5
Download/Installation Ease:  4 out of 5
Documentation/Support Quality:  3 out of 5
Ratings/Long-term Prospects Comments:  What really strikes me with this project is the easy expansion of the modules. Using existing frameworks as a template it is very easy to create your own specific post-processing. As all file handling is done natively, there is no need for advanced bookkeeping. This allows researchers (even those who do not specialize in programming) to add to this framework, without fear of damaging the whole.
Other Comments/Similar Tools:  Future development / feature request: I would like to see the development of non-imaging data-types, such as spectra, or even spreadsheet. Also plotting of data summaries would be greatly appreciated. It is very easy to create vast amounts of data with this tool, now we need a way to get a grip on that data.
Review 5 of JIST: Java Image Science Toolkit on Dec 16, 2009
Version Reviewed:  Beta 1.5
Overall Ease vs. Functionality:  5 out of 5
Download/Installation Ease:  5 out of 5
Documentation/Support Quality:  4 out of 5
Ratings/Long-term Prospects Comments:  Tutorials on the wiki were helpful and made installation straightforward. A wide variety of processing tools are available. JIST's integration with MIPAV makes quick visualization possible. More thorough documentation is needed to make all the available modules use-able, though this appears to be work in progress.
Other Comments/Similar Tools:  The admin have thus far responded quickly to posts on the forum and to bug reports. These seem to be good resources for the beginner.
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