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- W2369334788 abstract "Objective Using expectation maximization method for brain tissue segmentation of magnetic resonance imaging. Methods After analyzing the medical image segmentation methods that are widely used now, expectation maximization segmentation method based on statistical theory was presented, and the relevant theoretic arithmetic model and realization protocol were summed up. Using the experiment data for MR brain image, the imaging segment code was carried out with Visual C++ 6.0. Then the segmentation results were compared between expectation maximization method and SPM software. Results The result of this method is very close to the result of SPM, the boundary of gray matter, white matter and CSF in the brain is distinct, and whole uncertainty is relative low. Conclusion The segmentation technology mentioned in this paper is feasible, and the effect of segmentation is preferable, so it provides an efficient tool to analyze MR images and investigate disease farther." @default.
- W2369334788 created "2016-06-24" @default.
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- W2369334788 date "2007-01-01" @default.
- W2369334788 modified "2023-09-24" @default.
- W2369334788 title "Brain tissue segmentation of MRI based on expectation maximization method" @default.
- W2369334788 hasPublicationYear "2007" @default.
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