基于灰度积分投影与模糊C均值聚类的肺实质分割
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摘要
提出一种基于灰度积分投影与模糊C均值聚类的肺实质分割算法,用于CT图像的快速自动分割。首先,对原始肺部CT图像分别在水平和垂直方向上进行灰度积分投影;然后,选用平滑样条曲线拟合平滑原始图像的积分投影曲线,并提取拟合平滑前后曲线的极大值点,确定肺实质初始边界;最后,利用模糊C均值聚类算法对边界内区域进行分割,结合滚动小球法修复边界区域,获得肺实质区域。选取LIDC(肺部图像数据库联盟)数据库中20组图像(平均每组图像包含120幅CT图像)进行实验,平均分割精度为95.66%,平均每幅图像花费时间为0.77s。实验结果表明,该方法可以用于CT图像肺实质分割,具有全自动、高精度、鲁棒性等特点。
引文
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[7]Mohammed GJ,Hong BR,Jarjes AA.Accurate pupil features extraction based on new projection function[J].Computing and Informatics,2010,4(29):663-680.
[8]吴福培,张宪民,邝泳聪,等.无铅焊点鲁棒定位的灰度积分投影算法[J].华南理工大学学报(自然科学版),2009,9(37):98-103.
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[10]Balasubramani K,Marcus K.Artificial bee colony algorithm to improve brain MR image segmentation[J].International Journal on Computer Science and Engineering,2013,1(5):31-36.
[11]Zhoua SJ,Cheng YZ,Tamura SC.Automated lung segmentation and smoothing techniques for inclusion of juxtapleural nodules and pulmonary vessels on chest CT images[J].Biomedical Signal Processing and Control,2014,3(13):62-70.
[12]Darmanayagam SE,Harichandran KN,Cyril SRR,et al.A novel supervised approach for segmentation of lung parenchyma from chest CT for computer-aided diagnosis[J].Journal of Digital Imaging,2013,3(26):496-509.
[2]Pu J,Roos J,Yi CA,et al.Adaptive border marching algorithm:automatic lung segmentation on chest CT images[J].Computerized Medical Imaging and Graphics,2008,32(6):452-462.
[3]Mesanovic N,Grgic M,Huseinagic H,et al.Automatic CT image segmentation of the lungs with region growing algorithm[C]//Branka ZC,Narcis B,Mesud H,eds.Proceedings of18th International Conference on Systems,Signals and Image Processing-IWSSIP.Sarajevo:University of Sarajevo,2011:395-400.
[4]Wei Ying,Shen Guo,Li Juanjuan.A fully automatic method for lung parenchyma segmentation and repairing[J].Journal of Digital Imaging,2013,26(3):483-495.
[5]Shi Zhenghao,Zhao Minghua,He Lifeng,et al.A computer aided pulmonary nodule detection system using multiple massive training SVMs[J].Applied Mathematics&Information Sciences,2013,7(3):1165-1172.
[6]冯建强,刘文波,于盛林.基于灰度积分投影的人眼定位[J].计算机仿真,2005,4(22):75-77.
[7]Mohammed GJ,Hong BR,Jarjes AA.Accurate pupil features extraction based on new projection function[J].Computing and Informatics,2010,4(29):663-680.
[8]吴福培,张宪民,邝泳聪,等.无铅焊点鲁棒定位的灰度积分投影算法[J].华南理工大学学报(自然科学版),2009,9(37):98-103.
[9]Li Yujie,Lu Huimin,Zhang Lifeng,et al.An automatic image segmentation algorithm based on weighting fuzzy C-means clustering[J].Soft Computing in Information Communication Technology,2012,158(1):27-32.
[10]Balasubramani K,Marcus K.Artificial bee colony algorithm to improve brain MR image segmentation[J].International Journal on Computer Science and Engineering,2013,1(5):31-36.
[11]Zhoua SJ,Cheng YZ,Tamura SC.Automated lung segmentation and smoothing techniques for inclusion of juxtapleural nodules and pulmonary vessels on chest CT images[J].Biomedical Signal Processing and Control,2014,3(13):62-70.
[12]Darmanayagam SE,Harichandran KN,Cyril SRR,et al.A novel supervised approach for segmentation of lung parenchyma from chest CT for computer-aided diagnosis[J].Journal of Digital Imaging,2013,3(26):496-509.