2009 Summer Project Week Skull Stripping
Deformble surface modle for skull stripping.
Skull stripping using joint registration and segmentation.
Key Investigators
- JHU: Snehashis Roy
- GE : Xiaodong Tao
- BWH: Nicole Aucoin
Objective
We will discuss the possibility of combining the skull stripping algorithm developed at JHU (a joint registration and segmentation approach) and the one developed at GE (a deformable surface model) into a single skull stripping algorithm to be included in NA-MIC kit.
Approach, Plan
To understand each approach and discuss the best way to combining the effort. Develop a plan for implementation as a Slicer module.
Progress
The deformable surface based approach is similar to Brain Extraction Tool (BET). The algorithm has been tested on 300+ T1 weighted images from OASIS database and shows a DICE score of 0.94 with the brain masks provided in the OASIS database. This algorithm may be modified to work on images with other contrast mechanisms. The joint registration and segmentation algorithm also works on T! weighted images, and has been tested on a few hundreds of images with good accuracy.
References
- 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.
