全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于图割的扩散张量磁共振图像胼胝体分割算法

Keywords: 扩散张量磁共振图像,胼胝体分割,图割,最大流/最小切算法

Full-Text   Cite this paper   Add to My Lib

Abstract:

扩散张量磁共振成像过程易因噪声导致扩散张量图像(diffusiontensorimages,DTI)的体素数据发生畸变,使分割效果不佳.针对该问题,提出了一种基于图割的DTI胼胝体分割算法,该算法在求解能量函数的过程中,用非种子点与作为硬约束条件的种子点之间的J-散度中位数表示T-连接权值,用取值范围在(0,1之间的单调递减指数函数表示N-连接权值,同时构造网格图结构,用最大流/最小切算法计算最小切,实现图像的全局最优二值化分割.DTI图像的分割实验结果表明:所提算法能更为准确地从受噪声影响的数据中提取出胼胝体,各参数不同取值时的重叠率指标统计分析也证明了新算法具有较高的分割精度.

References

[1]  THOMPSON D K,INDER T E,FAGGIAN N,et al.Characterization of the corpus callosum in very preterm and full-term infants utilizing MRI[J].NeuroImage,2011,55(2):479-490.
[2]  BIHAN D L,MANGIN J F,POUPON C,et al.Diffusion tensor imaging:conceptsand applications[J].Journal of Magnetic Resonance Imaging,2001,13(4):534-546.
[3]  DEUTSCH G K,DOUGHERTY R F,BAMMER R,et al.Children's reading performance is correlated with white matter structure measured by diffusion tensor imaging[J].Cortex,2005,41(3):354-363.
[4]  ROUSSON M,DERICHE R.A variational framework for active and adaptative segmentation of vector valued images[C]∥Proceedings of the IEEE Workshop on Motion and Video Computing.Orlando,FL:IEEE Computer Society,2002:56-61.
[5]  FEDDERN C,WEICKERT J,BURGETH B.Level-set methods for tensor-valued images[C/OL]∥The IEEE Workshop on Variational,Geometric and Level Set Methods in Computer Vision.Nice,France:IEEE Computer Society,2003:65-72.
[6]  WIEGELL M R,TUCH D S,LARSSON H B,et al.Automatic segmentation of thalamic nuclei from diffusion tensor magnetic resonance imaging[J].NeuroImage,2003,19(2):391-401.
[7]  WANG Z,VEMURI B C.Tensor field segmentation using region based active contour model[C]∥Lecture Notes in Computer Science.Berlin:Springer-Verlag,2004:304-315.
[8]  JONASSON L,BRESSON X,HAGMANN P,et al.White matter fiber tract segmentation in DT-MRI using geometric flows[J].Medical Image Analysis,2005,9(3):223-236.
[9]  WANG Z,VEMURI B.An affian invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation[C]∥The IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Washington DC:IEEE Computer Society,2004:1228-1233.
[10]  AWATE S P,ZHANG H,GEE J C.A fuzzy,nonparametric segmentation framework for DTI and MRI analysis:with applications to DTI-tract extraction[J].IEEE Transactions on Medical Imaging,2007,16(1):1525-1536.
[11]  WELDESELASSIE Y T,HAMARNEH G.DT-MRI segmentation using graph cuts[C]∥Progress in Biomedical Optics and Imaging—Proceedings of SPIE.San Diego,CA:SPIE,2007:65121K-1-65121K-9.
[12]  MALCOLM J,RATHI Y,TANNENBAUM A.A graph cut approach to image segmentation on tensor space[C]∥The IEEE Conference on Computer Vision and Pattern Recognition.New York:Inst of Elec and Elec Eng Computer Society,2007:3096-3103.
[13]  BOYKOY Y,JOLLY M P.Interactive graph cuts for optimal boundary®ion segmentation of objects in N-D images[C]∥The IEEE International Conference on Computer Vision.Vancouver,BC:Institute of Electrical and Electronics Engineers Inc,2001:105-112.
[14]  吴占雄,朱善安,贺斌.扩散张量成像中脑胼胝体结构图像的分割算法[J].浙江大学学报,2011,45(1):163-167.WU Zhan-xiong,ZHU Shan-an,HE Bin.Segmentation of brain corpus callosum using graph cuts algorithm based on diffusion tensor imaging[J].Journal of Zhejiang University,2011,45(1):163-167.(in Chinese)
[15]  SKAREA S,LI T Q,NORDELLA B,et al.Noise considerations in the determination of diffusion tensor anisotropy[J].Magnetic Resonance Imaging,2000,18:659-669.
[16]  BASU S,FLETCHER T,WHITAKER R.Rician noise removal in diffusion tensor MRI[C]∥International Conference on Computing and Computer-Assisted Intervention.Berlin:Springer-Verlag,2006:117-125.
[17]  张相芬.DTI图像去噪方法研究[D].上海:上海交通大学电子信息与电气工程学院,2008.ZHANG Xiang-fen.Study on DTI image denoising[D].Shanghai:School of Electronics and Engineering,Shanghai Jiao Tong University,2008.(in Chinese)
[18]  GREIG D,PORTEOUS B,SEHEULT A.Exact maximum a posteriori estimation for binary images[J].Journal of Royal Statistical Society,1989,51(2):271-279.
[19]  BOYKOY Y,KOLMOGOROV V.An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(9):1124-1137.
[20]  KOLMOGOROV V,ZABIH R.What energy functions can be minimized via graph cuts?[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(2):147-159.
[21]  MUKHERJEE P,BERMAN J I,CHUNG S W,et al.Diffusion tensor MR imaging and fiber tractography:theoretic underpinnings[J].American Journal of Neuroradiology,2008,29(4):632-641.
[22]  雷涛,樊养余,赵炯.基于HSV彩色空间的矢量形态学算子[J].中国科学:信息科学,2012,42(5):588-602.LEI Tao,FAN Yang-yu,ZHAO Jiong.Vector morphological operators in HSV color space[J].SCIENTIA SINICA:Informationis,2012,42(5):588-602.(in Chinese)
[23]  LIU T,YOUNG G,HUANG L,et al.76-space analysis of grey matter diffusivity:methods and applications[J].NeuroImage,2006,31(1):51-65.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133