I have just posted on the topic of Radiology report anonymization over the “Institute for Better Health – Data, Analytics and Artificial Intelligence” blog. Please follow the link below to read it.

Report Anonymization: Date formats and whitespaces

Discussing the extreme wide variety of date/time formats used by individuals and systems, even inside one single institution. Also touches on a lesser known topic of different types of whitespace occasionally used in dates to prevent line wrapping from breaking up a date value.

I have just posted on the topics of Radiology report anonymization over the “Institute for Better Health – Data, Analytics and Artificial Intelligence” blog. Please follow the link below to read it.

Report Anonymization: Rich Text Format (RTF)

Explores different approaches for converting Rich Text Format (RTF) radiology reports to plain text for the purposes of anonymization, natural language processing (NLP) and more.

I have just posted a review of a number of DICOM anonymization tools over the “Institute for Better Health – Data, Analytics and Artificial Intelligence” blog. Please follow the link below to read it.

A comparison of DICOM Anonymization Tools

This post compares off the shelf DICOM anonymization tools like DicomCleaner, CTP, PyDicom/died and more for a project with 480,000 chest X-ray images. The discussion includes the requirements for the right tool, and a pro/con style analysis of each tool included in this comparison.