Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 189-192.doi: 10.11896/j.issn.1002-137X.2017.11A.039

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Segmentation Algorithm of Medical Images Based on Multi-resolution Double Level Set

TANG Wen-jie, ZHU Jia-ming and ZHANG Hui   

  • Online:2018-12-01 Published:2018-12-01

Abstract: This paper proposed a novel multiresolution double level set algorithm for medical image,which has a large amount of intensity inhomogeneities and complicated background,and can not be separated completely by traditional levelset.First of all,the algorithm gets the coarse scale image by analyzing the image with wavelet multiscale decomposition.Then,the algorithm identifies multiple targets by segmenting the analysed results in terms of improved double level set model.In order to deal with the effect of intensity inhomogeneities on the medical image,the algorithm introduces a bias fitting term into the improved double level set model and optimizes the coarse-scale segmentation result.The experimental result shows that the algorithm can reduce the problems of intensity inhomogeneities and complicated background,separate medical image including intensity inhomogeneities and multiple objects completely,and obtain the expected effect of segmentation.

Key words: Medical image segmentation,Multi-resolution,Double level set,Bias correction

[1] AUJOL J F,CHAN T F.Combining geometrical and texturedinformation to perform image classification[J].Journal of Visual Communication and Image Representation,2006,17(5):1004-1023.
[2] VESE L A,CHAN T F.A multiphase level set framework for image segmentation using the mumford and shah model [J].International Journlal of Computer Vision,2002,50(3):271-293.
[3] 詹天明,韦志辉,张建伟,等.脑MR图像分割和偏移场矫正的耦合水平集模型[J].中国图象图形学报,2011(11):2017-2023.
[4] WELLS W M,GRIMSON W E L,KIKINIS R,et al.Adaptive segmentation of MRI data[J].IEEE Transactions on Medical Imaging,1996,15(4):429-442.
[5] LI C,KAO C Y,GORE J C,et al.Minimization of region-scalable fitting energy for image segmentation[J].IEEE Transactions on Image Processing,2008,17(10):1940-1949.
[6] 范虹,朱艳春,王芳梅,等.多分辨率水平集算法的乳腺MR图像分割[J].物理学报,2014(11):400-408.
[7] ALDROUBI A.Families of wavelet transforms in connectionwith Shannon sampling theory and the Gabor transform[J].Wavelets:A Tutorial in Theory and Ppplications,1992:509-528.
[8] TSAI A,YEZZI A,WELLS W,et al.A shape-based approach to the segmentation of medical imagery using level sets[J].IEEE Transactions on Medical Imaging,2003,22(2):137-154.
[9] LI C,HUANG R,DING Z,et al.A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI[J].IEEE Transactions on Image Processing,2011,20(7):2007-2016.
[10] LI B N,CHUI C K,CHANG S,et al.Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation[J].Computers in Biology and Medicine,2011,41(1):1-10.

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