These two sections should be completed by Jan 31, 2006.

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Presentation transcript:

These two sections should be completed by Jan 31, 2006. MRI Tissue Classification Develop algorithm and ITK software module for tissue classification of brain-MR images. Team Plan/Expected Challenges/Publication Algorithm: Based on an adaptive, nonparametric model of higher-order Markov statistics. Suyash P. Awate, Utah Tolga Tasdizen, Utah (algorithms) Ross T. Whitaker, Utah (algorithms) Dan Blezek (GE) Xiaodong Tao (GE) Publication: Tasdizen, Awate, Whitaker, Foster: MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach. MICCAI (2) 2005: 517-525 Software: Design and coding of the algorithm virtually complete. Need help in incorporating some pre-existing automatic ITK-based registration routine as a pre-processing step in our algorithm. Currently using GUI-based mutual-information-based registration tool in ITK-Applicatiions. Clinical: Validation – using real IBSR data. IBSR data: Validation of classification method Accomplished by end of Programming Week Tested Dan Blezek’s command-line rigid-registration tool. Added code for doing affine registration. Tested new code. Investigating issues with optimizer and parameter tuning. Decided to redesign code to conform with the planned Markov-modeling framework in ITK. Need to cooperate with Kilian, Jim Miller. IBSR data Classification IBSR Ground Truth These two sections should be completed by Jan 31, 2006. The PPT file should be uploaded to the Wiki under the same name as above