| 基于数学形态学人脑MR图像感兴趣区域的提取 |
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| 引用本文： | 侯宏花,桂志国.基于数学形态学人脑MR图像感兴趣区域的提取[J].中国组织工程研究与临床康复,2010,14(13). |
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| 作者姓名： | 侯宏花 桂志国 |
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| 作者单位： | 中北大学,仪器科学与动态测试教育部重点实验室,信息与通信工程学院,山西省太原市030051 |
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| 基金项目： | 山西省自然科学基金(2009011020-2)"基于先验知识的PET图像重建算法研究"，山西省高等学校科技项目(20081024)"正电子发射断层成像重建技术研究" |
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| 摘 要： | 背景:在人脑MRI图像中感兴趣区域提取中,应用数学形态学方法取得了较好的效果,但是在抗噪性能和结构元素选取时存在一些不足之处,使得提取效果有缺陷.目的:在数学形态学的基础上,采用一系列改进的数学形态学方法,以期清晰完整地提取人脑MR图像中的感兴趣区域如脑脊液部位,为医学诊断提供准确信息.方法:首先采用复合形态学滤波去除脉冲和高斯噪声,用高低帽变换进行图像增强,然后用形态分水岭阈值分割提取脑部各成分,对分割出的脑脊液图像进行形态开闭滤波、边缘跟踪和灰度填充后,运用抗噪型边缘检测算子检测出清晰完整的脑脊液区域边缘,最后在原图像中用彩色标定,突出感兴趣区域.结果与结论:综合应用多种数学形态学算法,清晰完整地提取了人脑MRI图像中的感兴趣区域--脑脊液部位.经验证,该方法具有简单、快速、精度高、适用性强等特点.
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| 关 键 词： | 图像分割 边缘检测 人脑图像 数学形态学 感兴趣区域 提取 |
Interested area extraction of human brain MR image based on mathematical morphology |
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| Hou Hong-hua,Gui Zhi-guo.Interested area extraction of human brain MR image based on mathematical morphology[J].Journal of Clinical Rehabilitative Tissue Engineering Research,2010,14(13). |
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| Authors: | Hou Hong-hua Gui Zhi-guo |
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| Institution: | Hou Hong-hua,Gui Zhi-guo Key Laboratory of the State Education Ministry on Instrumentation Science & Dynamic Measurement,College of Information & Telecommunications Engineering,North University of China,Taiyuan 030051,Shanxi Province,China |
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| Abstract: | BACKGROUND:The applying of mathematical morphological algorithm has achieved good result in extracting the interested area of the brain MR image.However,it is has limitation in anti-noise property and structuring element selection.OBJECTIVE:To extract the interested area of the brain MR image clearly and fully based on mathematical morphology,to provide accurate information for clinical medical diagnosis.METHODS:Firstly,a compound mathematical morphological algorithm was used to filter the pulse and gauss n... |
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