NA-MIC JHU Skull Stripping Collaboration

Collaboration with Dr. Jerry Prince of Johns Hopkins Univeristy.

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Grant Number

R21-EB009900

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

References

Summer 2009 Project Week

Citations

• Aaron Carass, M. Bryan Wheeler, Jennifer Cuzzocreo, Pierre-Louis Bazin, Susan S. Bassett and Jerry L. Prince, A JOINT REGISTRATION AND SEGMENTATION APPROACH TO SKULL STRIPPING, ISBI 2007.