ongoing birn-gcrc collaborations
DESCRIPTION
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 BWH, Harvard Medical School Enhance cardiac MRI analysis & visualization tools - PowerPoint PPT PresentationTRANSCRIPT
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
• BWH, Harvard Medical School– Enhance cardiac MRI analysis & visualization tools
• BWH & MGH, Harvard Medical School– Functional MRI cross-site calibration
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)
– Improved experimental designs (meta-analysis [BrainMap + BIRN HID])
• Value to BIRN– Improved experimental taxonomies for a better HID design
– Improved query interface through integration with BrainMap
GCRC:
• MCW
• UTSA
• BWH
• BWH/MGH
Expanding taxonomy for neuroimaging databases
• 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.
• Collaboration goals
Extend and apply function BIRN tools for:
• Image registration algorithms (fully & semi-automated)
• Interactive time-series data management
• Value to GCRCs– Dissemination of improved tools (3D Slicer and Insight Toolkit)
– Training, expertise sharing, requirements definition future projects
• Value to BIRN– Extend and validate tools for non-brain imaging
– Expertise sharing
GCRC:
• MCW
• UTSA
• BWH
• BWH/MGH
Enhance cardiac perfusion MRI analysis & visualization tools
GCRC:
• MCW
• UTSA
• BWH
• BWH/MGH
Cardiac perfusion MRI
time series
Original sequence
Correctedsequence
GCRC:
• MCW
• UTSA
• BWH
• BWH/MGH
Need for data management & manual interaction (BIRN)
Interval Browser (3D Slicer) fBIRN visualization. In development
Extensions
Load, inspect , animate DICOM cardiac perfusion MRI datasets, key frame registrations
Future work• Investigate non-rigid registration
• Integrate perfusion processing in registration
• Sites– GCRC: BWH (P.I. Reisa Sperling)– BIRN: BWH & MGH
• Background– Longitudinal fMRI for clinical trials– Challenge: optimize reproducibility
• Collaboration goalCombine expertise from mBIRN & fBIRN toquantify and improve test-retest reproducibility
• Value to GCRCs– Dissemination acquisition protocols & correction methods– Improved multi-site MRI clinical trials
• Value to BIRN– Test and improve calibration methods
GCRC:
• MCW
• UTSA
• BWH
• BWH/MGH
Functional MRI cross-site calibration
Evolution of fMRI activation
Early vs. Late MCI
Early MCI (N=12) Late MCI (N=11)
GCRC:
• MCW
• UTSA
• BWH
• BWH/MGH
Value of longitudinal MRI studies
Goal: detect neuroimaging changes before behavioural changes
MCI: Mild Cognitive Impairment
Hippocampus
Preliminary Test-Retest Assessments
MGH BWH
Retest
Activation in LH hippocampus
MGH – Siemens 3T
Activation in LH hippocampus
BWH – GE 3TTest
GCRC:
• MCW
• UTSA
• BWH
• BWH/MGH
LH: Left Hemisphere
Future work:
• Optimize reproducibility metrics
• Minimize variability in acquisition protocols
• Introduce fBIRN & mBIRN calibration methods
Statistical power estimationfrom measured reproducibility errors
Acknowledgements
• For all the work: – Our GCRC collaborators and BIRN
• For these slides:– UCI: Jessica Turner– BWH: Wendy Plesniak, Steve Pieper,
Reisa Sperling– MGH: Doug Greve