DocumentCode :
2521197
Title :
A review of segmentation method for MR image
Author :
Yi, Li ; Zhijun, Gao
Author_Institution :
Heilongjiang of Sci. & Technol., Coll. of Comput. & Inf. Eng., Harbin, China
fYear :
2010
fDate :
9-11 April 2010
Firstpage :
351
Lastpage :
357
Abstract :
Magnetic resonance (MR) is a typical medical imaging technique. It can provide high resolution 3D image with anatomical and function information through analyzing MRI sequence, which facilitates and improves diagnosis and patient treatment. The first important step in image analysis is image segmentation. In this paper, numerous methods that have been developed for segmentation in MRI are reviewed. We study these segmentation strategies and perform a qualitative discussion according to 3 categories, i.e. traditional image processing method, statistical-based segmentation method and partition technique with bias field estimation.
Keywords :
image resolution; image segmentation; magnetic resonance imaging; medical image processing; 3D image; anatomical information; function information; image resolution; image segmentation; medical imaging; medical resonance; patient diagnosis; patient treatment; Biomedical imaging; Image analysis; Image resolution; Image segmentation; Image sequence analysis; Information analysis; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Medical treatment; Image analyzing; Image segmentation; Intensity inhomogeneity; MRI; Statistical classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2010 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4244-5554-6
Electronic_ISBN :
978-1-4244-5556-0
Type :
conf
DOI :
10.1109/IASP.2010.5476099
Filename :
5476099
Link To Document :
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