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| 基于改进GAC模型的二值水平集前列腺超声图像自动分割算法 | |
| 引用本文： | 杨振森,李传富,周康源,张开华,冯焕清.基于改进GAC模型的二值水平集前列腺超声图像自动分割算法[J].中国科学技术大学学报,2010,40(5). |
| 作者姓名： | 杨振森 李传富 周康源 张开华 冯焕清 |
| 作者单位： | 1. 中国科学技术大学电子工程与信息科学系,安徽合肥,230027 2. 安徽中医学院第一附属医院影像中心,安徽合肥,230031 3. 中国科学技术大学电子科学与技术系,安徽合肥,230027 |
| 基金项目： | 安徽省教育厅自然科学基金重点项目 |
| 摘 要： | 提出了一种基于改进测地线主动轮廓(geodesic active contour,GAC)的自动分割算法.首先通过结合径向浅浮槽和区域填充算法得到滤波后图像的大致轮廓,然后通过构造基于区域信息的符号压力函数代替边界停止函数,并且加入了基于边界梯度信息的能量项,有效地克服了弱边界的问题.该模型用二值水平集方法实现,使算法的稳定性更高,计算量大大降低.对前列腺直肠超声图像的实验结果表明:本算法迭代收敛速度快,有效避免了边界泄露问题. |
| 关 键 词： | sticks滤波 径向浅浮槽 自动分割 二值水平集 重新初始化 |
Automatic segmentation of prostate ultrasound images using binary level set based on an approved GAC model |
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| YANG Zhensen,LI Chuan-fu,ZHOU Kangyuan,ZHANG Kaihua,FENG Huanqing.Automatic segmentation of prostate ultrasound images using binary level set based on an approved GAC model[J].Journal of University of Science and Technology of China,2010,40(5). | |
| Authors: | YANG Zhensen LI Chuan-fu ZHOU Kangyuan ZHANG Kaihua FENG Huanqing |
| Institution: | YANG Zhensen1,LI Chuan-fu2,ZHOU Kangyuan1,ZHANG Kaihua1,FENG Huanqing3(1.Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027,China,2.Medical Imaging Center,First Affiliated Hospital of Anhui TCM College,Hefei 230031,3.Department of Electronic Science and technology,China) |
| Abstract: | An automatic segmentation algorithm of prostate ultrasound image was proposed using an approved GAC model.First,a coarse contour was obtained by radial bas-relief and region fill algorithm to the filtered image.The problem of weak edges was efficiently solved by presenting a new region-based signed pressure forces function to replace the edge stopping function and incorporating an energy function based on boundary gradient information.The model was implemented by binary level set function,which reduces the ... |
| Keywords: | sticks filter radial bas-relief automatic segmentation binary level set re-initialization |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |