多分辨率水平集算法的乳腺MR图像分割

范虹; 朱艳春; 王芳梅; 张旭梅

doi:10.7498/aps.63.118701

摘要

针对乳腺MR图像信息量大、灰度不均匀、边界模糊、难分割的特点，提出一种多分辨率水平集乳腺MR图像分割算法. 算法的核心是首先利用小波多尺度分解对图像进行多尺度空间分析，得到粗尺度图像；然后对粗尺度图像利用改进CV 模型进行分割. 为了去除乳腺MR图像中灰度偏移场对分割效果的影响，算法中引入局部拟合项，并用核函数进一步改进CV模型，进而对粗尺度分割效果进行优化处理. 仿真和临床数据分割结果表明，所提算法分割灰度不均匀图像具有较高的分割精度和鲁棒性，能够有效的实现乳腺MR图像的分割.

关键词:

Abstract

This paper proposes a novel multiresolution level set algorithm to segment breast MR images, which have a large amount of information, intensity inhomogeneities, and weak boundary. The core of the algorithm is to get the coarse scale image by analyzing the image in multi-scale space with wavelet multiscale decomposition. Then, to segment the analysed results in terms of improved CV model. In order to deal with the effect of bias field on the global images, the algorithm introduces a local fitting term into the improved CV model and optimizes the coarse-scale segmentation result by using the Kernel function to further improve the CV model. Experimental results on both synthetic and real breast MR images demonstrate that the proposed algorithm can segment the images with intensity inhomogeneity effectively and efficiently, also it can segment the images far more accurately, computationally efficiently, and much less sensitively to the initial contour.

Keywords:

作者及机构信息

1.
陕西师范大学计算机科学学院, 西安 710062;

2.
北京大学物理学院, 医学物理和工程北京市重点实验室, 北京 100871

基金项目: 陕西省科学技术研究发展计划（批准号：2012K06-36）和陕西师范大学中央高校基本科研业务费（批准号：GK201102006）资助的课题.

Authors and contacts

1.
School of Computer Science, Shaanxi Normal University, Xi'an 710062, China;

2.
Beijing Key Laboratory of Medical Physics and Engineering, School fo Physics, Peking University, Beijing 100871, China

Funds: Project supported by the Shaanxi province science and technology research and development program, China (Grant No. 2012K06-36), the Fundamental Research Funds for the Central Universities, China (Grant No. GK201102006).

参考文献

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[8]	Zhang S Y, Bao S L, Kang X J 2013 Acta Phys. Sin. 62 208703 (in Chinese)[张首誉, 包尚联, 康孝俭, 高嵩 2013 62 208703]
[9]	Fang S, Wu W C, Ying K, Guo H 2013 Acta Phys. Sin. 62 048702 (in Chinese)[方晟, 吴文川, 应葵, 郭华 2013 62 048702]
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[13]	Klifa C, Carballido-Gamio J, Wilmes L, Laprieb A, Shepherda J, Gibbsa J, Fana B, Noworolskia S, Hyltona N 2010 Magnetic Resonance Imaging 28 8
[14]	Gwo C Y, Wei C H, Li Y, Huang PJ 2013 European Journal of Radiology 82 e176
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[21]	Li C M, Huan R, Ding Z H, Chris Gatenby J, Metaxas D N, Gorel J C 2011 IEEE Transactions on Image Processing 20 2007

施引文献

[1]	Bao S L, Zhou C N, Guo Z G 2010 Biology Fundamental Theory of Medical Imaging (1st Ed.) (Beijing: Higher Education Press) p307 (in Chinese) [包尚联, 周传农, 郭占国 2010 医学影像生物学基础(第1版) (北京: 高等教育出版社) p307]
[2]	Cui Y F, Tan Y Q, Zhao B S, Liberman L, Parbhu R, Kaplan J, Theodoulou M, Hudis C, Schwartz LH 2009 Med. Phys. 36 4359
[3]	Seiko KS, Kuroki Y, Nasu K, Nawano S, Moriyama N, Okazaki M 2007 Magn. Reson. Ned Sci. 6 21
[4]	Tang X, Hong L M, Zu D L 2010 Chin. Phys. B 19 078702
[5]	Xu Y, Wang W T, Wang W M 2012 Chin. Phys. B 21 118704
[6]	Zu Z L, Zhou K, Zhang S G, Gao S, Bao S L 2008 Chin. Phys. B 17 328
[7]	Bao S L, Du J, Gao S 2013 Acta Phys. Sin. 62 088701 (in Chinese)[包尚联, 杜江, 高嵩 2013 62 088701]
[8]	Zhang S Y, Bao S L, Kang X J 2013 Acta Phys. Sin. 62 208703 (in Chinese)[张首誉, 包尚联, 康孝俭, 高嵩 2013 62 208703]
[9]	Fang S, Wu W C, Ying K, Guo H 2013 Acta Phys. Sin. 62 048702 (in Chinese)[方晟, 吴文川, 应葵, 郭华 2013 62 048702]
[10]	Osher S, Sethian J 1988 A Journal of Computational Physics 79 12
[11]	Qian Y, Zhang Y J 2008 Journal of Image and Graphic 13 7) (in Chinese) [钱芸, 张英杰 2008 中国图象图形学报 13 7]
[12]	Chan F T, Vese L 2001 IEEE Transactions on Image Processing 10 266
[13]	Klifa C, Carballido-Gamio J, Wilmes L, Laprieb A, Shepherda J, Gibbsa J, Fana B, Noworolskia S, Hyltona N 2010 Magnetic Resonance Imaging 28 8
[14]	Gwo C Y, Wei C H, Li Y, Huang PJ 2013 European Journal of Radiology 82 e176
[15]	Hayton P, Brady M, Tarassenko L, Moore N 1997 Med. Image Anal. 1 207
[16]	Twellmann T, Lichte O, Nattkemper TW 2005 IEEE Trans. Med. Imaging 24 1256
[17]	Otsu N 1979 IEEE Trans. Syst. Man. Cybernet. 9 62
[18]	Li C M, Kao C Y, John Gore C, Ding Z H 2008 IEEE Transactions on Image Processing 17 1940
[19]	Liu H H, Chen Z H, Chen X H Chen Y G 2005 Proceeding of IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, Septembei 1-4, 2005
[20]	Olivier B, Denis F, Philippe T, Michael U 2009 IEEE Transactions on Image Processing 18 1179
[21]	Li C M, Huan R, Ding Z H, Chris Gatenby J, Metaxas D N, Gorel J C 2011 IEEE Transactions on Image Processing 20 2007

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