We suggest downloading the version which is bundled with the Java runtime environment. The software is very flexible and allows you to remove as much or as little data as you want but be careful to check the default settings before you hit clean as we found unless you change them it will leave the details of the clinician, institution, DOB and gender of the patient. Our mission is to help make surgery safer by putting physical models of patient anatomy in the hands of surgeons.
By Medimodel team. In Guide. The software suite was developed by Kyoto University [4]. Despite the fact that there has been no update since , it seems appropriate to present it since, like the other two tools, it's one of the few to allow the anonymization of the burned in annotations of the image included in the list of [1].
The software suite is easy to install. The DICOM viewer is simple to use and has all the tools expected from a viewer such as: load an image, multi-window display, overlay DICOM file metadata, change windowing and contrast, etc It also allows you to add annotations such as points, lines, polygons, distance measurement.
The de-identification tool works either by using a conversion script where the fields of the file to be modified and the way to do it are defined, or by configuring the conversion options through the user interface see screenshots below.
Having seen how to anonymize the "pixel data" of DICOM files, let's take a look at the de-identification of image metadata. The three tools presented above can anonymize the pixels and the image metadata. When using the de-identification pipeline, the image metadata related to patient and study information is anonymized by replacing with random values or by being removed see screenshot below.
The replacement rules are defined in a script that is set as a parameter of the de-identification pipeline. Pros: the accuracy in the configuration thanks to the anonymizer parameterization scripts.
Cons: you need to be familiar with the scripting language to define the rules for replacing values. Prior to pixel de-identification, the tool replaces patient and study metadata. You can determine which of the following replacement rules are applied:. Pros: the graphical interface makes it easy to define the replacement values and those to be deleted. Several files can be processed at the same time e.
Cons: the tool cannot be used in a batch anonymization process with a de-identification script, allowing multiple patients to be treated with different replacement identifiers pseudonymization. The files saved after anonymizing patient information were corrupted. We were unable to fully evaluate the tool. The list of anonymized DICOM "tags" and their replacement rules are available in the conditions of use. The tool is proposed by [6].
The graphical interface and file loading are easy to use. Anonymization of file metadata is available with the licensed version of the tool. You also get 6 months of email technical support and free upgrades. Account type. In order to proceed with the purchase, you need to create an account selecting the proper account type. Private customer. I already have an account [ ] Logout. Spain Sri Lanka St. Helena St. VAT number.
Networking Software. Trending from CNET. Download Now. Anonymizing is required for medical image processing. Full Specifications. What's new in version 1. Version 1. Release February 12, Date Added February 12, Operating Systems. Additional Requirements None.
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