Contributor
Peter Vu

De-Mystifying Medical Imaging DICOM Data


Mentors
billbbennett@gmail.com
Organization
Biomedical Informatics, Emory University

A lot of Medical Imaging data used and shared today is formatted using the DICOM standard. It can be collected and rendered into a Descriptive Data Structure which can be rendered into HTML through the use of POSDA, however this software is coded in Perl run on a server back-end. This makes the program not portable, slow, and dependent on the up-time of the server it is hosted on. Therefore the goal of this project is to design and release a portable, stand-alone program coded in JavaScript able to mirror what POSDA does and interpret and display DICOM IOD tables on any device with a browser as well as add new features such as new rendering parameters and make UI more usable and responsive.