Medical environments benefit greatly from the help of a computer, just like any other domain of activity out there. Specialized picture formats can hold patient data under an universal medical file format, namely the DICOM. In this regard, De-Identification GUI comes with the means to help you remove identification data from DICOM files.
Choose source and manage filters
The application is good to go from the moment download is done. However, your computer needs to be fitted with Java Runtime Environment to ensure proper functionality. On the other hand, the package also includes necessary functions to work from a command-line interface, but installation also depends on Java.
The interface is well-organized, with a couple of tabs to define the job, as well as to manage properties. The input folder needs to be filled in with one or more locations where DICOM files are found, with the possibility to set a wildcard filter for easier identification of items of interest, as well as a file extension filter to narrow down results.
Create your own policies for the operation
For the operation to be successful, you also need to specify a policy URI and workflow file. These need to be under the XML format. Related properties can be managed in the dedicated tab. Here, you can add add and remove properties, but also manage existing values.
There are a couple of policy and workflow files you can use. However, there’s also the possibility to take your time and build a custom policy file. Acting as a stand-alone program, the policy editor comes with a built-in DICOM dictionary for easy management of rules, pixel cleaning, list of policies to include, transformer, and more.
A few last words
Bottom line is that DICOM files generally contain all patient and operation related details, which might need to be removed in particular scenarios. This is where De-Identification GUI comes in handy, letting you work from a GUI or command-line interface, while also letting you create custom policies for use.
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De-Identification GUI is a standard GUI application which is intended to be simple in use and lightweight. This Java application helps in the removal of patient and operation identifying data from DICOM files. The application removes identifiers which it identifies and generates DICOM-compliant medical file as a result.
De-identification GUI: Medical files can carry detailed patient information which can be a problem to some, while this particular aspect can be more important for medical institutions, which needs to keep patient information confidential. De-Identification GUI is an application intended to help in the removal of identification data from DICOM files, in a way that the files remain compliant with the DICOM standard, but gets a generic medical format, retaining the usefulness of medical files.
De-Identification GUI features:
The program is free to use, with no license fees. The most significant downside is that its only compatible with Windows. However, the program has a decent command line interface, which means that the program is able to be used from a command-line interface, if needed. The application comes with the option to create a custom workflow and policy file, which would be stored as the application’s working directory. This way, the program is able to be stand-alone, working without any other application at hand.
The interface is straightforward, with the main window containing several tabs, which can be used to enter information on the program. The main window and the tabbed interface serves in the management of the properties, for better information sharing across different files and policies.
The program is a downloader first, which means that there’s no activation of an application. You just download the thing, and install, which might take a little bit. The download process can be shortened by importing the app into your Bluestacks or AnyDmM emulator, which can be done by hovering on a file inside your file manager.
The downloader itself is embedded with an updated Java Runtime Environment and the DICOM plugin. The program can be used to work with DICOM files, including single data sets and image data. The GUI application is able to remove data from both single and image data sets, though for image data, the only option available is to set the type of image data set, and remove identification data from it.
A few issues:
The most significant problem with De-Identification GUI is its incompatibility with
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De-Identification GUI is an application designed to help you remove DICOM tags from DICOM images, so as to make them suitable for publishing on the web.
I have a problem with a software called drpdump. So, i googled it and I found a program called De-IdentificationGUI on their official website. It is a handy program you need to have in your computer. Its worth to mention that De-IdentificationGUI is not only an alternative to drpdump but also a program that removes DICOM tags from a tagged image while allows to save original image. De-IdentificationGUI may be interesting to know about in your work as a physician.
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This article covers an application named De-Identification GUI which is regarded as the most powerful tool to get rid of identifiers. In our ongoing series, “De-Identification GUIs,” we’ll go over the best known applications on the market that help you to keep your patient information anonymous.
In recent years, many research papers have been written about how much information patient data can reveal about individuals. One such paper (which can be read in the English version of the journal ) specifically mentions information on eye color, sex and even hair color, but also height, name, age, blood type, and social security number. For at least ten years, it has been argued that the importance of anonymization and pseudonymization of patient data is pressing. So what is a good tool to do so? The answer is a De-Identification GUI like this one from the Runde Software House.
In our article on De-Identification GUIs we’ve already covered commercial De-Identification GUIs, but there is also a free open source software called De-Identification GUI which was written by Ida Goldbach, who works at the University of Berne in Switzerland. The software is in the public domain, so it’s free as in beer. That means that you can even download the source code and try it out on your own, without paying any money.
Download and Installation
It was only a matter of time before a De-Identification GUI was also available as a ready-made.zip archive, and that’s exactly what we have here from Ida Goldbach. However, the application doesn’t run out of the box and needs some preparation. Make sure to prepare a JDK installation before downloading the package, or else you’ll face crashes while using the program.
De-Identification GUI is available for free under a GPLv3 license.
A large percentage of the available packages only work with Windows, so it’s refreshing to see a De-Identification GUI that also works under Linux. The package consists of a main archive of the application and two additional.zip files to install the DICOM and ReShare libraries.
When the installation is done, De-Identification GUI can be run from a console, from the GUI or even from the Qt-based graphical environment.
Running from the command-line
The command line version of De-Identification GUI needs Java to be installed. The package
What’s New in the De-Identification GUI?
De-Identification GUI is one of the most powerful tool for De-Identification of DICOM images. It is very easy to use. There is no need for any special knowledge to use this software. Use this software to remove the patient name from your DICOM files. In most of the cases you don’t need to remove the name.
De-Identification GUI shows you the result in a readable image. When you open the program it is very easy to see the image. It shows the image with highlighted areas which you can remove. You can change the color of the highlighted areas to eliminate the patient name. (This feature is not available in demo version of the software).
De-Identification GUI provides you an option to save your processing result. By default the processing result is saved in DICOM format. You can also save the result in JPG format.
With the provided option you can change the background color of the result image to make the results look more user friendly.
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