Skip to Main content Skip to Navigation
Conference papers

Preserving Privacy in Structural Neuroimages

Abstract : Evolving technology has enabled large-scale collaboration for neuroimaging data. For high resolution structural neuroimages, these data are inherently identifiable and must be given the same privacy considerations as facial photographs. To preserve privacy, identifiable metadata should be removed or replaced, and the voxel data de-identified to remove facial features by applying skull stripping or a defacing algorithm. The Quickshear Defacing method uses a convex hull to identify a plane that divides the volume into two parts, one containing facial features and another the brain volume, and removes the voxels on the facial features side. This method is an effective alternative to existing solutions and can provide reductions in running time.
Document type :
Conference papers
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Wednesday, September 13, 2017 - 8:56:08 AM
Last modification on : Wednesday, September 13, 2017 - 2:28:19 PM
Long-term archiving on: : Thursday, December 14, 2017 - 12:41:53 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Nakeisha Schimke, Mary Kuehler, John Hale. Preserving Privacy in Structural Neuroimages. 23th Data and Applications Security (DBSec), Jul 2011, Richmond, VA, United States. pp.301-308, ⟨10.1007/978-3-642-22348-8_26⟩. ⟨hal-01586590⟩



Record views


Files downloads