Computer Science ›› 2019, Vol. 46 ›› Issue (5): 254-259.doi: 10.11896/j.issn.1002-137X.2019.05.039

Previous Articles     Next Articles

Multi-modal Medical Volumetric Image Fusion Based on 3-D Shearlet Transform
and Generalized Gaussian Model

XI Xin-xing1, LUO Xiao-qing1,2, ZHANG Zhan-cheng2,3   

  1. (School of Internet of Things,Jiangnan University,Wuxi,Jiangsu 214122,China)1
    (Jiangsu Provincial Engineerinig Laboratory of Pattern Recognition and Computational Intelligence,Wuxi,Jiangsu 214122,China)2
    (School of Electronic & Information Engineering,Suzhou University of Science and Technology,Suzhou,Jiangsu 215009,China)3
  • Published:2019-05-15

Abstract: In view of the limitation of most traditional multi-modal medical image fusion methods that cannot deal with the medical volumetric images,this paper presented a multi-modal medical volumetric image fusion method based on 3-D shearlet transform (3DST) and generalized gaussian model.Firstly,the preregistered medical volumetric images are decomposed into low frequency parts and high frequency parts by using the 3DST.Next,a novel fusion rule with the local energy is performed on the low frequency subbands.Moreover,an effective fusion rule based on Generalized Gaussian Model (GGD) and fuzzy logic is proposed for integrating the high frequency subbands.Finally,the fused image is obtained by the inverse 3DST.Through subjective and objective performance comparison,experiments on medical volumetric images show thatthe proposed method can obtain better fusion results.

Key words: Medical volumetric image fusion, 3-D shearlet transform, Generalized gaussian model, Fuzzy logic

CLC Number: 

  • TP391
[1]JAMES A P,DASARATHY B V.Medical image fusion:A su-rvey of the state of the art[J].Information Fusion,2014,19(3):4-19.
[2]GALANDE A,PATIL R.The art of medical image fusion:A survey[C]∥International Conference on Advances in Computing,Communications and Informatics.IEEE,2013:400-405.
[3]SAHU A,BHATEJA V,KRISHN A,et al.Medical image fusion with Laplacian Pyramids[C]∥International Conference on Medical Imaging,M-Health and Emerging Communication Systems.IEEE,2015:448-453.
[4]HARIBABU M,BINDU C H,PRASAD K S.Multimodal Medical Image Fusion of MRI-PET Using Wavelet Transform[C]∥International Conference on Advances in Mobile Network,Communication and ITS Applications.IEEE,2012:127-130.
[5]ZHANG Q,GUO B L.Multifocus image fusion using the nonsubsampledcontourlettransform[J].Signal Processing,2009,89(7):1334-1346.
[6]RUI S,IRENE C,ANUP B.Cross-scale coefficient selection for volumetric medical image fusion[J].IEEE Transactions on Biomedical Engineering,2013,60(4):1069-1079.
[7]WANG L,LI B,TIAN L.Multimodal medical volumetric datafusion using 3-D discrete shearlet transform and global-to-local rule.[J].IEEE Transactions on Biomedical Engineering,2013,61(1):197-206.
[8]LIU Y,CHEN X,CHENG J,et al.A medical image fusionmethod based on convolutional neural networks[C]∥International Conference on Information Fusion.IEEE,2017:1-7.
[9]HERMESSI H,MOURALI O,ZAGROUBA E.Convolutionalneural network-based multimodal image fusion via similarity learning in the shearletdomain[J].Neural Computing & Applications,2018(4):1-17.
[10]CROUSE M S,BARANIUK R G.Contextual hidden Markovmodels for wavelet-domain signal processing[C]∥Asilomar Conference on.IEEE,1997:95-100.
[11]PO D D,DO M N.Directional multiscale modeling of images using the contourlettransform[J].IEEE Transactions on Image Processing,2006,15(6):1610-1620.
[12]ZHU M,YANG Y.A New Image Fusion Algorithm Based on Fuzzy Logic[C]∥International Conference on Intelligent Computation Technology and Automation.IEEE Computer Society,2008:83-86.
[13]CHEN S,WU Y.Image Fusion Based on Contourlet Transform and Fuzzy Logic[C]∥International Congress on Image and Signal Processing.IEEE,2009:1-5.
[14]MARCHI V A A,ROJAS F A R,LOUZADA F.The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence:an application to the average intelligence and atheism rates across nations data[J].Journal of Data Science,2012,10(4):711-722.
[15]MOULIN P,LIU J.Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors[J].IEEE Transactions on Information Theory,1999,45(3):909-919.
[16]GAI S,YANG G,WAN M,et al.Hidden Markov tree model of images using quaternion wavelet transform[J].Computers & Electrical Engineering,2014,40(3):819-832.
[17]WANG L,LI B,TIAN L F.EGGDD:An explicit dependency model for multi-modal medical image fusion in shift-invariant shearlet transform domain[J].Information Fusion,2014,19(11):29-37.
[18]JIANG Q,JIN X,LEE S J,et al.A Novel Multi-focus Image Fusion Method Based on Stationary Wavelet Transform and Local Features of Fuzzy Sets[J].IEEE Access,2017,5:20286-20302.
[19]LI S,KANG X,HU J.Image fusion with guided filtering[J].IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,2013,22(7):2864-2875.
[20]BHATNAGAR G,WU Q M J,LIU Z.Directive Contrast Based Multimodal Medical Image Fusion in NSCT Domain[J].International Journal of Engineering Trends & Technology,2013,15(5):1014-1024.
[1] LUO Xu-dong, HUANG Qiao-juan, ZHAN Jie-yu. A Survey of Automated Negotiation and Its Fuzzy Set Based Models [J]. Computer Science, 2019, 46(12): 220-230.
[2] YANG Lu, YU Shou-wen and YAN Jian-feng. Type-2 Fuzzy Logic Based Multi-threaded Data Race Detection [J]. Computer Science, 2017, 44(12): 135-143.
[3] LUO Pin-jie, WEN He and WAN Li. Research on Bus Arrival Time Prediction Model Based on Fuzzy Neural Network with Genetic Algorithm [J]. Computer Science, 2016, 43(Z6): 87-89.
[4] MA Xiao-xin and ZENG Guo-sun. Scheme of Automated Trust Negotiation Based on Fuzzy Logic [J]. Computer Science, 2015, 42(12): 220-223.
[5] WANG Wan-liang, SHI Hao and LI Yan-jun. Weighted Centroid Localization Algorithm Based on Mamdani Fuzzy Theory [J]. Computer Science, 2015, 42(10): 101-105.
[6] LI Qing and LI Dong-hui. Lossless Color Image Compression Method Based on Fuzzy Logic [J]. Computer Science, 2014, 41(Z11): 103-106.
[7] ZHANG Feng,WANG Jian,ZHAO Yan-fei and DU He. Markov Model for Predicting Trust [J]. Computer Science, 2014, 41(4): 155-158.
[8] ZOU Li,TAN Xue-wei and ZHANG Yun-xia. Knowledge Reasoning Based on Linguistic Truth-valued Intuitionstic Fuzzy Logic [J]. Computer Science, 2014, 41(1): 134-137.
[9] DU Jian,CHEN Hong-bin and ZHAO Feng. Digital Home Service Scheduling Algorithm Based on Fuzzy Logic [J]. Computer Science, 2013, 40(6): 63-66.
[10] PAN Hai-yu,ZHANG Min and CHEN Yi-xiang. Relationships among Several Types of Kripke Structures Based on Fuzzy Logic [J]. Computer Science, 2013, 40(5): 42-44.
[11] ZHANG Jun,GAO Yan and YU Su-hua. Research on Fuzzy Logic in Database Information Retrieval [J]. Computer Science, 2013, 40(10): 183-189.
[12] . Research of MAC Protocol for Wireless Medical Body Area Network Based on Fuzzy Logical Algorithm [J]. Computer Science, 2013, 40(1): 88-90.
[13] . Research on Dynamic Obstacle Avoidance and Path [J]. Computer Science, 2012, 39(3): 223-227.
[14] ZHOU Ling-li,LAI Jiang-huang,WU Xian. Applications of Fuzzy Logic in the Protection Algorithm of Face Feature [J]. Computer Science, 2011, 38(9): 267-270.
[15] XIAO Wei-na,ZHANG Wei-qun,WANG Ling-ling. Study on Evaluation Model of Software Requirement Analysis Risk Based on Neural Network [J]. Computer Science, 2011, 38(4): 199-202.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75 .
[2] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[3] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[4] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[5] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99 .
[6] ZHOU Yan-ping and YE Qiao-lin. L1-norm Distance Based Least Squares Twin Support Vector Machine[J]. Computer Science, 2018, 45(4): 100 -105 .
[7] LIU Bo-yi, TANG Xiang-yan and CHENG Jie-ren. Recognition Method for Corn Borer Based on Templates Matching in Muliple Growth Periods[J]. Computer Science, 2018, 45(4): 106 -111 .
[8] GENG Hai-jun, SHI Xin-gang, WANG Zhi-liang, YIN Xia and YIN Shao-ping. Energy-efficient Intra-domain Routing Algorithm Based on Directed Acyclic Graph[J]. Computer Science, 2018, 45(4): 112 -116 .
[9] CUI Qiong, LI Jian-hua, WANG Hong and NAN Ming-li. Resilience Analysis Model of Networked Command Information System Based on Node Repairability[J]. Computer Science, 2018, 45(4): 117 -121 .
[10] WANG Zhen-chao, HOU Huan-huan and LIAN Rui. Path Optimization Scheme for Restraining Degree of Disorder in CMT[J]. Computer Science, 2018, 45(4): 122 -125 .