Karthik Ramadass will present “Introduction to XNAT and DAX” on Monday, Nov. 22, from 9 to 11:00 a.m. CT over Zoom.
XNAT stands for Extensible Neuroimaging Archive Toolkit, an open-source imaging informatics platform used to securely store, organize, analyze, annotate and automatically process medical imaging data. DAX is Distributed Automation for XNAT. DAX is a command line tool to help analyze, extract and automate pipelines on the images stored on XNAT from the back end. These two tools work within the Advanced Computing Center for Research and Education (ACCRE), Vanderbilt University’s cluster computer system.
Research in the field of medical imaging involves collection of large amounts of data over time from different modalities such as CT and MR. To address the challenging task of data management for medical imaging research, the Neuroinformatics Research Group at Washington University designed XNAT, an open-source imaging informatics platform used to securely store, organize, analyze, annotate and automatically process medical imaging data. VUIIS Center for Computational Imaging operates an instances of XNAT at Vanderbilt called xnat.vanderbilt.edu as part of the Human Imaging Core. VUIIS CCI also developed a command line tool called DAX to help analyze, extract and automate pipelines on the images stored on XNAT.
This presentation will introduce audiences to the usage of XNAT and DAX. It also will include a live hands-on session to help set up DAX on ACCRE or your workstation (Linux, MAC OS, or WSL on Windows) and try out a few DAX features as well.
Questions may be directed to Karthik Ramadass at email@example.com.