Title :
Comparisons on segmentation of brain MR image
Author :
Yang, Chunlan ; Wu, Shuicai ; Bai, Yanping ; Gao, Hongjian
Author_Institution :
Coll. of Life Sci. & Bioeng., Beijing Univ. of Technol., Beijing, China
Abstract :
Image segmentation is a focused issue in image processing. Especially, brain segmentation is a key problem in neuroscience. In this study, our aim is to segment the real MR image into gray matter, white matter and cerebrospinal fluid. Several methods were compared. However, traditional methods such as fuzzy c-means, mixture Gaussian model can´t achieve a satisfied result successfully. Markov random field (MRF) model is used and the experimental results show that MRF method is robust to noise which can achieves a perfect segmentation.
Keywords :
Markov processes; biomedical MRI; brain; image segmentation; medical image processing; neurophysiology; Gaussian mixture model comparison; MRF model; Markov random field model; brain MR image segmentation; cerebrospinal fluid; fuzzy c-means method comparison; gray matter; magnetic resonance imaging; neuroscience; white matter; Biomedical engineering; Brain modeling; Educational institutions; Focusing; Image processing; Image segmentation; Instruments; Markov random fields; Neuroscience; Noise robustness; brain MR image; fuzzy C-means; markov random field; mixture Gaussian model; segmentation;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274127
