NA-MIC JHU Skull Stripping Collaboration

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Grant#

R21EB009900

Key Personel

  • JHU: Jerry L. Prince, PI, Aaron Carass, Min Chen, Snehashis Roy
  • NA-MIC: Nicole Aucoin, Ron Kikinis

Funding Duration

08/01/2009-07/31/2011

Goals of the Project

The primary goals of this proposal are to enhance the NA-MIC code base with a segmentation algorithm that is capable of skull stripping and segmenting both cerebrum and cerebellum separately or collectively in a way which provides accuracy comparable to human raters.

Aims

  1. Rewrite SPECTRE using the NA-MIC software methodology for inclusion in Slicer 3D
  2. Complete the algorithms necessary for isolating and establishing a coordinate system on the cerebellum
  3. Parameters will be optimized in order for SPECTRE to perform well with a variety of differelty aquired data
  4. Compare SPECTRE against all publically available (source or binary) skull-stripping software

Current progress

References

Summer 2009 Project Week

Publications

  • A. Carass, M.B. Wheeler, J. Cuzzocreo, P.-L. Bazin, S.S. Bassett and J.L. Prince, "A Joint Registration and Segmentation Approach to Skull Stripping". Proceedings of the Fourth IEEE International Symposium on Biomedical Imaging (ISBI 2007), Arlington, VA, April 12-15, 2007.
  • K. Covington, E. McCreedy, M. Chen, A. Carass, N. Aucoin, and B.A. Landman, "Interfaces and Integration of Medical Image Analysis Frameworks: Challenges and Opportunities". Annual ORNL Biomedical Science and Engineering Conference (BSEC 2010), Oak Ridge, Tennessee, May 25-26, 2010.