EXCEED THE SPACE PROVIDED. Functional MRI (fMRI) has become a major tool for physicians, psychologists, and neuroscientists in their work of trying to understand brain functon and architecture. Because many investigators use fMRI and because new study paradigms are being developed to assess different parts of the brain, ways to evaluate the post-processing tools for these datasets are needed. Many different algorithms have been incorporated into packages that permit corrections for motion artifacts in the datasets and provide the means of applying statistical analysis in order to extract information from the studies. How well a particular analysis approach works on a particular dataset is often difficult to understand because activation is not precisely repeatable and may change between data collections. Therefore, using real data to assess how well a particular processing approach works is usually not appropriate. For this reason, a realistic computer-generated phantom can provide a reasonable way of testing a particular processing tool or algorithm so that the user has confidence in the results that could be quite useful as a way of testing new software during the development phase or in teaching new users how to employ a particular tool for processing fMRI data. The overall goal of this proposal is two-fold: 1) to extend, refine, and evaluate a previously developed computer-generated phantom designed to evaluate the capabilities of available algorithms and processing packges for functional magnetic resonance imaging (fMRI) datasets, and 2) to make this phantom available to the user community. PERFORMANCE SITE ========================================Section End===========================================

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS046077-03
Application #
6832822
Study Section
Special Emphasis Panel (ZMH1-CRB-B (01))
Program Officer
Liu, Yuan
Project Start
2002-12-01
Project End
2006-11-30
Budget Start
2004-12-01
Budget End
2006-11-30
Support Year
3
Fiscal Year
2005
Total Cost
$215,175
Indirect Cost
Name
Vanderbilt University Medical Center
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
004413456
City
Nashville
State
TN
Country
United States
Zip Code
37212
Morgan, Victoria L; Li, Yong; Abou-Khalil, Bassel et al. (2008) Development of 2dTCA for the detection of irregular, transient BOLD activity. Hum Brain Mapp 29:57-69
Li, Yong; Xu, Ning; Fitzpatrick, J Michael et al. (2008) Geometric distortion correction for echo planar images using nonrigid registration with spatially varying scale. Magn Reson Imaging 26:1388-97
Morgan, Victoria L; Dawant, Benoit M; Li, Yong et al. (2007) Comparison of fMRI statistical software packages and strategies for analysis of images containing random and stimulus-correlated motion. Comput Med Imaging Graph 31:436-46
Xu, Ning; Fitzpatrick, J Michael; Li, Yong et al. (2007) Computer-generated fMRI phantoms with motion-distortion interaction. Magn Reson Imaging 25:1376-84
Li, Yong; Xu, Ning; Fitzpatrick, J Michael et al. (2007) Accounting for signal loss due to dephasing in the correction of distortions in gradient-echo EPI via nonrigid registration. IEEE Trans Med Imaging 26:1698-707
Pickens, David R; Li, Yong; Morgan, Victoria L et al. (2005) Development of computer-generated phantoms for FMRI software evaluation. Magn Reson Imaging 23:653-63