Introduction to algorithms
Neuroimage data sets: rethinking privacy policies
HealthSec'12 Proceedings of the 3rd USENIX conference on Health Security and Privacy
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Data sharing offers many benefits to the neuroscience research community. It encourages collaboration and interorganizational research efforts, enables reproducibility and peer review, and allows meta-analysis and data reuse. However, protecting subject privacy and implementing HIPAA compliance measures can be a burdensome task. For high resolution structural neuroimages, subject privacy is threatened by the neuroimage itself, which can contain enough facial features to re-identify an individual. To sufficiently de-identify an individual, the neuroimage pixel data must also be removed. Quickshear Defacing accomplishes this task by effectively shearing facial features while preserving desirable brain tissue.