直方图的脑图像分割策略 |
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引用本文: | 刘建伟,郭雷.直方图的脑图像分割策略[J].西安工业大学学报,2014(3):188-192. |
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作者姓名: | 刘建伟 郭雷 |
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作者单位: | 西北工业大学自动化学院,西安710129 |
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基金项目: | 国家自然科学基金项目(61273362) |
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摘 要: | 为了提高核磁共振分割精度和效率,提出了一种基于直方图核磁共振脑图像分割算法.利用脑提取工具剔除脑核磁共振图像中非脑组织.根据灰度变化的特点,将脑图像直方图的区域峰值组成新的直方图,通过基于直方图阈值选取规则将脑组织分割成白质、灰质、脑脊液.实验结果表明:该算法相对于常见的分割算法,获得了较高的分割精度,同时运算效率高,运算时间降低了1~2个数量级.
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关 键 词: | 核磁共振 分割 直方图 阈值 灰度 |
Histogram-Based Method for Magnetic Resonance Brain Image Segmentation |
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Authors: | LIU Jian-wei GUO Lei |
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Affiliation: | (College of Automation,Northwestern Polytechnical University,Xi'an 710129 ,China) |
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Abstract: | This paper presents a histogram-based segmentation method for magnetic resonance brain images in order to improve segmentation accuracy and efficiency .Brain Extraction Tool method is used to remove non-brain tissues .According to the characteristics of grayscale change ,a new histogram is extracted from the brain image histogram peaks ,and Brain tissue was segmented into white matter (WM ) ,gray matter (GM ) and cerebrospinal fluid (CSF) by using the new histogram threshold rule . The experimental results show that ,compared with the common segmentation algorithm , the new method is of higher segmentation accuracy and computational efficiency , and the computing time is reduced by 1 to 2 orders of magnitude . |
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Keywords: | magnetic resonance (M R) segmentation histogram threshold gray |
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