Mbirn: Structural MRI calibration data dissemination
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- Short Description
- Structural MRI data from 5 healthy volunteers scanned multiple times on multiple sites having different 1.5T systems (Siemens, GE, Piker). For each subject, four multi-spectral structural scans were obtained in a single scan session, from which tissue proton density and T1 maps can be derived. These data was acquired to investigate various metrics of within-site and across-site reproducibility.
- Keywords: structural MRI, human brain morphometry, reproducibility, test-retest, multi-site studies, longitudinal studies
- Longer Overview
- Sites
- Acquisition Protocols
- Data Dissemination Overview
- Phantom
- Subject de-identification
- Database User Manual
- Registration for access and download
- References
- Jorge Jovicich, Silvester Czanner; Douglas Greve; Elizabeth Haley; Andre van der Kouwe; Randy Gollub; David Kennedy; Franz Schmitt; Gregory Brown; James MacFall; Bruce Fischl; Anders Dale. Reliability in Multi-Site Structural MRI Studies: Effects of Gradient Non-linearity Correction on Phantom and Human Data, NeuroImage (in press)
- J. Jovicich, S. Czanner, D. Greve, J. Pacheco, E. Busa, A. van der Kouwe, Morphometry BIRN, B. Fischl. Test-retest reproducibility assessments for longitudinal studies: quantifying MRI system upgrade effects. In: International Society of Magnetic Resonance in Medicine; Miami, FL.;2005.
- Technical Contact
- Acknowledgements
- Data acquisition: Thanks to Steve Pieper and Charles Guttmann for coordinating phantom and human scans at BWH, James MacFall for scans at Duke, Greg Brown for scans at UCSD, Dave Keator and Jessica Turner for scans at UCI and Anders Dale and Jorge Jovicich for scans at MGH and overall coordination. Thanks to all our human phantoms (some of which have been already named)!!!
- Preprocessing: Thanks to Silvester Czanner
- Databasing:
- Funding: This work was supported by a grant (#U24 RR021382) to the Morphometry Biomedical Informatics Research Network (BIRN, http://www.nbirn.net), that is funded by the National Center for Research Resources (NCRR) at the National Institutes of Health (NIH).
