An image analysis pipeline for the semi-automated analysis of clinical fMRI images based on freely available software

被引：4

作者：

Karmonik, Christof ^{[1
]}

York, Michele ^{[2
]}

Grossman, Robert ^{[1
]}

Kakkar, Ekta ^{[1
]}

Patel, Krutina ^{[1
]}

Haykal, Hani ^{[3
]}

King, David ^{[3
]}

机构：

[1] Methodist Hosp, Dept Neurosurg, Houston, TX 77030 USA

[2] Baylor Coll Med, Dept Neurol, Houston, TX 77030 USA

[3] Methodist Hosp, Dept Radiol, Houston, TX 77030 USA

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2010年 / 40卷 / 03期

关键词：

Functional magnetic resonance imaging; Image analysis pipeline; Clinical fMRI; Brain activation; Automated image analysis; FUNCTIONAL MRI; BRAIN ACTIVATION; STRATEGIES; STIMULATION; EPILEPSY; PACKAGES; SCANNER; SYSTEM; MOTION; SIGNAL;

D O I：

10.1016/j.compbiomed.2009.12.003

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：279 / 287

页数：9

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