Michael Y. Park MD, Presenter: Nothing to Disclose

Seung Eun Jung MD, Abstract Co-Author: Nothing to Disclose

Kwang Pyo Kim, Abstract Co-Author: Nothing to Disclose

Kyung-Hyun Do MD, Abstract Co-Author: Nothing to Disclose

Jung Eun Lee, Abstract Co-Author: Nothing to Disclose

Hyung-Soo Kim, Abstract Co-Author: Nothing to Disclose

To develop an open source web based system for tracking and analyzing CT radiation dose reports with an emphasis on ease of use and increased compatibility in diverse environments without dependencies on external electronical medical records (EMR) or Picture Archival and Communication System (PACS).

We identified potential problems preventing easy and widespread use of automated methods for analyzing CT radiation dose reports. Based on an open source automated dose extraction project RADIANCE, the Ministry of Food and Drug Safety modified the project and developed KDose to alleviate these problems.

Major obstacles of prior automated methods for dose extraction include dependencies on external electronical medical records (EMR) or picture archiving system (PACS), difficulty in customizing solutions, difficult in automating the whole process, and CT scan protocols which image multiple body parts in a single scan. To overcome these obstacles KDose removed dependencies on external systems by using an easy to use fully customizable web based interface to determine CT exam types depending only on DICOM headers. This was implemented by developing a custom text parsing system fully configurable by a web interface. KDose is also fully installable automatically and does not require special knowledge to install. Guides for automatically sending images to the KDose system was created for major CT vendors. KDose identifies and parses multiple CT body parts created from a single scan. The source code for KDose is open source and may be used or modified freely.

KDose introduces new approaches that solve many problems preventing easy and widespread use of automated methods for analyzing CT radiation dose reports.

The development of KDose identifies real world problems in regard to using automated methods for analyzing CT radiation dose reports and offers potential solutions.

Park, M, Jung, S, Kim, K, Do, K, Lee, J, Kim, H, Open Source Automated Web-based System for Tracking and Analyzing CT Radiation Dose Reports.  Radiological Society of North America 2013 Scientific Assembly and Annual Meeting, December 1 - December 6, 2013 ,Chicago IL. http://archive.rsna.org/2013/13026460.html