Share Email Print
cover

Proceedings Paper

Integration of XNAT/PACS, DICOM, and research software for automated multi-modal image analysis
Author(s): Yurui Gao; Scott S. Burns; Carolyn B. Lauzon; Andrew E. Fong; Terry A. James; Joel F. Lubar; Robert W. Thatcher; David A. Twillie; Michael D. Wirt; Marc A. Zola; Bret W. Logan; Adam W. Anderson; Bennett A. Landman
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Traumatic brain injury (TBI) is an increasingly important public health concern. While there are several promising avenues of intervention, clinical assessments are relatively coarse and comparative quantitative analysis is an emerging field. Imaging data provide potentially useful information for evaluating TBI across functional, structural, and microstructural phenotypes. Integration and management of disparate data types are major obstacles. In a multi-institution collaboration, we are collecting electroencephalogy (EEG), structural MRI, diffusion tensor MRI (DTI), and single photon emission computed tomography (SPECT) from a large cohort of US Army service members exposed to mild or moderate TBI who are undergoing experimental treatment. We have constructed a robust informatics backbone for this project centered on the DICOM standard and eXtensible Neuroimaging Archive Toolkit (XNAT) server. Herein, we discuss (1) optimization of data transmission, validation and storage, (2) quality assurance and workflow management, and (3) integration of high performance computing with research software.

Paper Details

Date Published: 29 March 2013
PDF: 7 pages
Proc. SPIE 8674, Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 867405 (29 March 2013); doi: 10.1117/12.2007621
Show Author Affiliations
Yurui Gao, Vanderbilt Univ. (United States)
Scott S. Burns, Vanderbilt Univ. (United States)
Carolyn B. Lauzon, Vanderbilt Univ. (United States)
Andrew E. Fong, Blanchfield Army Community Hospital (United States)
Terry A. James, Blanchfield Army Community Hospital (United States)
Joel F. Lubar, Southeastern Biofeedback Institute, Inc. (United States)
Robert W. Thatcher, Applied Neuroscience, Inc. (United States)
David A. Twillie, Blanchfield Army Community Hospital (United States)
Michael D. Wirt, Blanchfield Army Community Hospital (United States)
Marc A. Zola, Blanchfield Army Community Hospital (United States)
Bret W. Logan, Blanchfield Army Community Hospital (United States)
Adam W. Anderson, Vanderbilt Univ. (United States)
Bennett A. Landman, Vanderbilt Univ. (United States)


Published in SPIE Proceedings Vol. 8674:
Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Maria Y. Law; William W. Boonn, Editor(s)

© SPIE. Terms of Use
Back to Top