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JIST: Java Image Science Toolkit

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Java Image Science Toolkit (JIST) provides a native Java-based imaging processing environment similar to the ITK/VTK paradigm

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JIST Layout Tool for Graphical Scripting

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This tool has been downloaded 3970 times.
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  • 3 external documentation item
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Ratings & Reviews

(5)
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14 Reviews
  • Posted on NITRC on Jan 22, 2010
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    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.
  • Posted on NITRC on Dec 21, 2009
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    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.
  • Posted on NITRC on Dec 21, 2009
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  • Posted on NITRC on Dec 21, 2009
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  • Posted on NITRC on Dec 20, 2009
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    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.
  • Posted on NITRC on Dec 17, 2009
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    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.
  • Posted on NITRC on Dec 17, 2009
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    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.
  • Posted on NITRC on Dec 17, 2009
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    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.
  • Posted on NITRC on Dec 16, 2009
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    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.
  • Posted on NITRC on Dec 16, 2009
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    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.
  • Posted on NITRC on Dec 16, 2009
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    Comments: Documentation provides the detailed tutorial for installation, which is very useful for the beginner. GUI makes the visual implementation of the algorithms easier. The Crossing-Platform properties of JAVA guarantee its functionality in multi-platforms.
  • Posted on NITRC on Dec 16, 2009
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    Comments: This product is great for image analysis researchers who use or want to use Java to prototype ideas and rapidly deploy them to non-technical users. It includes all the core functionality found in the NA-MIC kit (VTK, ITK, Slicer, Dashboard, BatchMake, and LONI pipeline), but is much easier to install, develop, and deploy. It's clear this product is still in its infancy compared to more well established packages (i.e. VTK). The layout tool and process manager have some usability issues, and it would immensely helpful if the process manager could visualize results from experiments and refresh those visualizations when a result changes.
  • Posted on NITRC on Dec 16, 2009
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    Comments: For the absolute beginner, installing any type of java processing tool is a little tough. However, the documentation was very straightforward, and the people I contacted with questions were very clear on their answers. The tool itself is fairly intuitive, and the GUI makes it so much easier to drag inputs and outputs from one algorithm to another.
  • Posted on NITRC on Sep 24, 2009
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    Comments: Tool provides a simple visual programming / scripting environment. It is easy to learn and use for the "supported" layouts. Several hundred modules are included for diffusion and structural MRI analysis. Documentation could be improved, but seems to be evolving.