1. 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

2. 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

3. Quality Assurance: stability of MRI Signal 0 0.025 0.05 0.075 0.1 0.125 0.15 0.175 0.2 0.225 0.25 0.275 0.3 0.325 0.35 0.375 0.4 0.425 0.45 10/31/9911/14/99 1/7/00 1/25/002/16/00 2/26/00#2 3/15/00 4/1/00#1 4/8/00 4/18/004/25/005/12/00 6/9/00 7/12/007/21/008/16/008/29/00 9/13/00#29/18/00#29/18/00#4 10/14/00 10/25/00#1 10/26/0011/17/0012/15/00 1/5/01 1/31/01 2/23/01#2 3/15/01 3/22/01#2 5/21/01 7/2/01 7/27/01#1 8/10/01 fBIRN recommendation Typical brain

4. 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

5. Sites –GCRC: UTSA (P.I. Peter Fox) –BIRN: UCI Background –Brainmap (www.brainmap.org) stores published neuroimaging resultswww.brainmap.org –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

6. 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

7. 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

8. GCRC: MCW UTSA BWH BWH/MGH Cardiac perfusion MRI time series Original sequence Corrected sequence

9. 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

10. Sites –GCRC: BWH (P.I. Reisa Sperling) –BIRN: BWH & MGH Background –Longitudinal fMRI for clinical trials –Challenge: optimize reproducibility Collaboration goal Combine expertise from mBIRN & fBIRN to quantify 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

11. 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

12. Preliminary Test-Retest Assessments MGH BWH Retest Activation in LH hippocampus MGH – Siemens 3T Activation in LH hippocampus BWH – GE 3T Test 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 estimation from measured reproducibility errors

13. 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