Abstract Archives of the RSNA, 2013
LL-INE3193
Using a Free DICOM Header Extraction Tool to Create a Data Warehouse of DICOM Data Elements for Data Mining Purposes in Research and Clinical Use
Education Exhibits
Presented in 2013
Pattanasak Mongkolwat PhD, Abstract Co-Author: Nothing to Disclose
Alexandr Kogan, Abstract Co-Author: Nothing to Disclose
Skip Talbot BS, Presenter: Nothing to Disclose
Ann B Ragin PhD, Abstract Co-Author: Nothing to Disclose
Godwin Inalegwu Ogbole MBBS, Abstract Co-Author: Nothing to Disclose
Vladimir Kleper, Abstract Co-Author: Nothing to Disclose
The DICOM header of a DICOM file contains information about acquisition and imaging parameters, patient demographics and/or structured reporting. This information is stored in the DICOM file as data elements. Accessing each DICOM data element requires considerable DICOM expertise and access to imaging studies in order to separate out data elements. We created an imaging tool to extract DICOM data elements from a DICOM file and store the information in a relational database.
The exhibit consists of two parts. The first part demonstrates how to properly extract DICOM data elements and preserve the hierarchical structure of the DICOM contents. It depicts the database schema and examples of structure query language, needed in order to retrieve DICOM data. The second part is the software demonstration that recursively discovers DICOM files within a directory structure and extracts DICOM data elements from DICOM files into a relational database.
Commercial and open source picture archiving and communication systems (PACS) can extract and store a limited number of DICOM data elements required to operate PACS. Many useful DICOM data elements remain in the DICOM files. Searching and retrieving these elements from PACS is not simple. We provide a free tool used to create a DICOM elements data warehouse for research and clinical use.
Mongkolwat, P,
Kogan, A,
Talbot, S,
Ragin, A,
Ogbole, G,
Kleper, V,
Using a Free DICOM Header Extraction Tool to Create a Data Warehouse of DICOM Data Elements for Data Mining Purposes in Research and Clinical Use. Radiological Society of North America 2013 Scientific Assembly and Annual Meeting, December 1 - December 6, 2013 ,Chicago IL.
http://archive.rsna.org/2013/13012461.html