Overview

Tools to go from a DICOM dataset into a collection of tables for the purposes of data repurposing and exploration using relational databases.

This is not a general purpose tool. Initial goal is to support exploration of the TCIA QIN-HEADNECK dataset.

Prerequisites

Software:

• python
• pandas
• pydicom (must be installed from source! distribution available via pip is too old and does not have some of the DICOM dictionary entries we parse)

Data:

• https://wiki.cancerimagingarchive.net/display/Public/QIN-HEADNECK

Usage

python tabulate.py schema.qdbd <location of a directory with QIN-HEADNECK data>

The script will create tables stored in CSV in the directory where it was executed.

Contact

• Andrey Fedorov https://fedorov.github.io