A Review of Segmentation Method for MR Image
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.
MRI Image analyzing Image segmentation Statistical classification Intensity inhomogeneity
Li Yi Gao Zhijun
Heilongjiang of Science and Technology, College of Computer and Information Engineering Harbin, China
国际会议
2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)
厦门
英文
351-357
2010-04-12（万方平台首次上网日期，不代表论文的发表时间）