| 一种提取乳腺癌DCE-MRI感兴趣区域的分割方法 |
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| 引用本文： | 檀 哲,洪容容,叶少珍. 一种提取乳腺癌DCE-MRI感兴趣区域的分割方法[J]. 福州大学学报(自然科学版), 2016, 44(1): 33-39 |
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| 作者姓名： | 檀 哲 洪容容 叶少珍 |
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| 作者单位： | 福州大学数学与计算机科学学院，福建 福州 350116,福州大学数学与计算机科学学院，福建 福州 350116,福州大学数学与计算机科学学院，福建 福州 350116;福建省医疗器械与医药技术重点实验室,福建 福州 350002 |
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| 基金项目： | 福建省自然科学(2012J01261)； 国家自然科学基金(61104041)；国家自然科学(61201397)。 |
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| 摘 要： | 针对医院临床诊断中希望能够克服灰度不均匀并且减少非病灶增强区域的干扰,从而更精确地进行DCE-MRI医学病灶分割的情况,在水平集方法的几何活动轮廓模型基础上,提出结合了局部灰度聚类和尺度停止函数的方法,以克服灰度不均匀和非病灶噪声干扰.对福建省肿瘤医院等医院的临床乳腺癌DEC-MRI数据进行实验,结果表明改进的水平集方法具有较好的分割效果.
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| 关 键 词： | 乳腺癌DCE-MRI，水平集方法，局部灰度聚类，尺度停止函数 |
| 修稿时间： | 2014-06-09 |
A method to extract the region of interest in dynamic contrast-enhanced MR imaging of breast cancer |
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| TAN Zhe,HONG Rongrong and YE Shaozhen. A method to extract the region of interest in dynamic contrast-enhanced MR imaging of breast cancer[J]. Journal of Fuzhou University(Natural Science Edition), 2016, 44(1): 33-39 |
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| Authors: | TAN Zhe HONG Rongrong YE Shaozhen |
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| Affiliation: | College of Mathematics and Computer Science,Fuzhou University,Fuzhou,College of Mathematics and Computer Science,Fuzhou University,Fuzhou,College of Mathematics and Computer Science,Fuzhou University,Fuzhou |
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| Abstract: | In dynamic contrast enhanced-magnetic resonance imaging, the uneven gray of lesions and enhancing of healthy regions make it unsatisfying in extracting region of interest. In the hospital overcoming the uneven gray and reducing interferences of unwanted enhancing through its DCE-MRI can be segmented more accurately. The paper is based on level set segmentation, combining with local clustering criterion and a scale change function, in order to overcome the interferences. The experiment based on the DCE-MRI data of Fujian Provincial Tumor Hospital show that the results are improved and the segmentation is accelerated. |
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| Keywords: | Breast cancer level set segmentation local clustering criterion scale change function |
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