(c) 2026 { brain-pain:de } Medical Imaging Metadata & SR Dose Analytics
Free tools for analyzing TAG Meta Data from various DICOM image files, DICOM SR files (Radiation Structured Report), and an information page with links to the DICOM Standard. Create and export the results as PDF or TEXT file. Listen to a "less-than-2-minutes" Summary right here.
Want to learn more about DICOM tags and RDSR? Then the following media content is exactly what you need. Watch or listen – the choice is yours. -> RDSR (Video) | DICOM TAGs (Video) | RDSR Podcast | DICOM TAGs Podcast.
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Note: Instructions and sample files for testing and download can be found below.
Analyze and compare Radiation Dose Structured Reports. Extract detailed dose events, acquisition parameters, and evaluate clinical dose protocols.
Deep dive into the metadata of your DICOM files. Explore specific Value Representations, tags, sequences, and export the structured header data.
Access structured reference datasets from the DICOM standard for X-Ray Radiofluoroscopic Image modules, formatted specifically for easy database integration.
Chronological summary of the DICOM standard history. Direct download links to the DICOM standard in HTML and PDF format.
Patient Radiation Dose Structured Report is a DICOM (SR) object and associated set of templates designed to encode estimated patient and organ doses ...
A collection of DICOM image files in various modalities. The sample images are intended for testing the tools offered here.
Don't have a DICOM file to try it out? Simply download a DICOM image and/or a DICOM SR file here.
This page is still in "Work in Progress" status. For optimal use, I recommend the "Dark Mode", as adjustments to individual colors are still necessary in the "Light Mode".
DICOM images and/or DICOM Structured Report files uploaded here are not stored on the server. Please note that the reports will no longer be available when switching from one tool to another or when leaving the page. The uploaded files are only used for processing during the current session of the respective tool.
This site is not officially supported and is provided "as is" for informational, educational, and troubleshooting purposes only.
DICOM parsing is performed entirely on the client side in your browser. The files are never uploaded to the server.
Note: This Summary was created using Google's AI "NotebookLM".
What you can expect here, summarized in 1:25 minutes. You won't find a faster way to click and scroll through the content.
Podcast Length: 01:25 min