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MRI Tissue Classification Develop algorithm and ITK software module for tissue classification of brain-MR images. Plan/Expected Challenges/Publication. Team. Algorithm: Based on an adaptive, nonparametric model of higher-order Markov statistics. Suyash P. Awate, Utah
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MRI Tissue ClassificationDevelop algorithm and ITK software module for tissue classification of brain-MR images. Plan/Expected Challenges/Publication Team 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) 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 – now using real IBSR data. Is there real data with better ground truth ? (Add picture to illustrate accomplishment) Accomplished by end of Programming Week Place your text here. Place your picture/movie here. 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