Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
505862 | Computers in Biology and Medicine | 2010 | 9 Pages |
Abstract
The technique of functional Magnetic Resonance Imaging (fMRI) has evolved in the last 15 years from a research concept into a clinically relevant medical procedure. In this study, an efficient, semi-automated and cost-effective solution for the analysis of fMRI images acquired in a clinical setting is presented relying heavily on open source software. The core of the pipeline is the software Analysis of Functional NeuroImages (AFNI, National Institute of Mental Health (NIMH)) combined with K-PACS and ImageJ. Its application is illustrated with clinical fMRI exams and with a research study involving comparing subjects diagnosed with Parkinson's disease and age-matched controls.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Christof Karmonik, Michele York, Robert Grossman, Ekta Kakkar, Krutina Patel, Hani Haykal, David King,