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Ongoing BIRN-GCRC Collaborations
• Medical College Wisconsin (non BIRN site)– Functional MRI acquisition calibration
• University of Texas (non BIRN site)– Expand taxonomy for neuroimaging database
Jorge Jovicich, Ph.D.Massachusetts General Hospital - Harvard Medical School
Functional MRI acquisition calibration
• Sites– GCRC: MCW (P.I. Steven Rao)– BIRN: UCI, Stanford
• Collaboration goal– Apply FBIRN QA methods in a novel environment
• Value to GCRC– Experience using the QA methods to determine that
scanner quality is comparable with other sites
• Value to BIRN– Validate QA methods outside of FBIRN network– Receive feedback improve
GCRC:
• MCW
• UTSA
• BWH
• BWH/MGH
Quality Assurance: stability of MRI Signal
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fBIRN recommendation
Typical brain
BIRN Interactions with MCW
• MCW: new 3T GE MRI scanner• Interested in:
– Method for assessing fMRI signal stability– Comparison with fBIRN
• Doped-water phantom shipped for QA• Agar phantom being procured
GCRC:
• MCW
• UTSA
• BWH
• BWH/MGH
Sample Results
• Sites– GCRC: UTSA (P.I. Peter Fox)– BIRN: UCI
• Background– Brainmap (www.brainmap.org) stores published neuroimaging results – Used for meta-analyses prior to experimental design– BIRN HID stores clinical info, fMRI metadata results, link to images
• Collaboration goal:– Enable [BrainMap + BIRN HID] queries for fMRI experimental results– Need common descriptors (taxonomy) for fMRI experiments
• Value to GCRCs– Improved experimental taxonomies (better BrainMap database)
• Integrating BIRN and BrainMap data descriptions– BIRN describes data from every subject– BrainMap describes only group results– Integration & expansion of Meta-data descriptions
GCRC:
• MCW
• UTSA
• BWH
• BWH/MGH
Expanding taxonomy for neuroimaging databases
Expansions to
include fBIRN
cognitive tasks
Brain Map
• Sites– GCRC: BWH (P.I. Gail Adler)– BIRN: BWH
• Background– PET standard for cardiac perfusion– Perfusion MRI has potentials– Challenge quantification due to physiological motion. Automate.