Multimodal medical image fusion review: Theoretical background and recent advances

[1]  Ajith Abraham,et al.  A survey on region based image fusion methods , 2019, Inf. Fusion.

[2]  Qiang Cao,et al.  Medical image fusion based on GPU accelerated nonsubsampled shearlet transform and 2D principal component analysis , 2017, 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP).

[3]  Shutao Li,et al.  Performance comparison of different multi-resolution transforms for image fusion , 2011, Inf. Fusion.

[4]  Vikrant Bhateja,et al.  Medical Image Fusion in Wavelet and Ridgelet Domains: A Comparative Evaluation , 2015, Int. J. Rough Sets Data Anal..

[5]  Heung-Il Suk,et al.  Deep Learning in Medical Image Analysis. , 2017, Annual review of biomedical engineering.

[6]  Jionghua Teng,et al.  Neuro-fuzzy logic based fusion algorithm of medical images , 2010, 2010 3rd International Congress on Image and Signal Processing.

[7]  Sanjay N. Talbar,et al.  Non-subsampled Complex Wavelet Transform Based Medical Image Fusion , 2018, Proceedings of the Future Technologies Conference (FTC) 2018.

[8]  Yufeng Zheng,et al.  A new metric based on extended spatial frequency and its application to DWT based fusion algorithms , 2007, Inf. Fusion.

[9]  L. Gwenn Volkert,et al.  Fuzzy rule base classifier fusion for protein mass spectra based ovarian cancer diagnosis , 2009, 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

[10]  Vince D. Calhoun,et al.  A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia , 2010, NeuroImage.

[11]  Chirag Munshi,et al.  CT and MRI image fusion based on Wavelet Transform and Neuro-Fuzzy concepts with quantitative analysis , 2014, 2014 International Conference on Electronics and Communication Systems (ICECS).

[12]  Tao Zhang,et al.  Medical image fusion based on nuclear norm minimization , 2015, Int. J. Imaging Syst. Technol..

[13]  Max A. Viergever,et al.  A survey of medical image registration - under review , 2016, Medical Image Anal..

[14]  Ke Lu,et al.  An overview of multi-modal medical image fusion , 2016, Neurocomputing.

[15]  Hong-sheng Yin,et al.  A novel improved deep convolutional neural network model for medical image fusion , 2018, Cluster Computing.

[16]  Jinzhu Yang,et al.  PET/CT medical image fusion algorithm based on multiwavelet transform , 2010, 2010 2nd International Conference on Advanced Computer Control.

[17]  Yong Yang,et al.  Multimodal Medical Image Fusion Based on Fuzzy Discrimination With Structural Patch Decomposition , 2019, IEEE Journal of Biomedical and Health Informatics.

[18]  Laurent Jacques,et al.  A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity , 2011, Signal Process..

[19]  Yuanyuan Xu,et al.  Feature level MRI fusion based on 3D dual tree compactly supported Shearlet transform , 2019, J. Vis. Commun. Image Represent..

[20]  Stavri G. Nikolov,et al.  Image fusion: Advances in the state of the art , 2007, Inf. Fusion.

[21]  Yi Liu,et al.  Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review , 2018, Inf. Fusion.

[22]  Mahmoud Mostapha,et al.  Role of deep learning in infant brain MRI analysis. , 2019, Magnetic resonance imaging.

[23]  Sabalan Daneshvar,et al.  Medical image fusion based on nonsubsampled shearlet transform and principal component averaging , 2019, Int. J. Wavelets Multiresolution Inf. Process..

[24]  V. Vaidehi,et al.  Comparison of Pixel-level and feature level image fusion methods , 2015, 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom).

[25]  Gulshan Kumar,et al.  A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning , 2019, Archives of Computational Methods in Engineering.

[26]  Gonzalo Pajares,et al.  A wavelet-based image fusion tutorial , 2004, Pattern Recognit..

[27]  T. Tirupal,et al.  Multimodal Medical Image Fusion Based on Fuzzy Sets with Orthogonal Teaching–Learning-Based Optimization , 2019 .

[28]  P. Vasuki,et al.  A survey on image preprocessing techniques for diverse fields of medical imagery , 2017 .

[29]  Xiaoqing Luo,et al.  Image Fusion Using Quaternion Wavelet Transform and Multiple Features , 2017, IEEE Access.

[30]  Yu Liu,et al.  A medical image fusion method based on convolutional neural networks , 2017, 2017 20th International Conference on Information Fusion (Fusion).

[31]  Awais Ahmad,et al.  Medical image fusion method by using Laplacian pyramid and convolutional sparse representation , 2020, Concurr. Comput. Pract. Exp..

[32]  Vikrant Bhateja,et al.  Medical Image Fusion in Curvelet Domain Employing PCA and Maximum Selection Rule , 2016 .

[33]  Xiangzhi Bai.  Morphological image fusion using the extracted image regions and details based on multi-scale top-hat transform and toggle contrast operator , 2013, Digit. Signal Process..

[34]  Lawrence D. Jackel,et al.  Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.

[35]  Galina L. Rogova,et al.  Information fusion approach to microcalcification characterization , 2002, Inf. Fusion.

[36]  Hamid Reza Shahdoosti,et al.  Multimodal image fusion using sparse representation classification in tetrolet domain , 2018, Digit. Signal Process..

[37]  S. Baronti,et al.  Multispectral and panchromatic data fusion assessment without reference , 2008 .

[38]  Pan Lin,et al.  Multimodal Sensor Medical Image Fusion Based on Type-2 Fuzzy Logic in NSCT Domain , 2016, IEEE Sensors Journal.

[39]  Feng Zhou,et al.  Deep Learning Framework for Alzheimer’s Disease Diagnosis via 3D-CNN and FSBi-LSTM , 2019, IEEE Access.

[40]  Ashish Khare,et al.  Redundant Discrete Wavelet Transform Based Medical Image Fusion , 2014, SIRS.

[41]  Ezzeddine Zagrouba,et al.  Deep feature learning for soft tissue sarcoma classification in MR images via transfer learning , 2019, Expert Syst. Appl..

[42]  Vladimir S. Petrovic,et al.  Subjective tests for image fusion evaluation and objective metric validation , 2007, Inf. Fusion.

[43]  Yide Ma,et al.  Image fusion based on steerable pyramid and PCNN , 2009, 2009 Second International Conference on the Applications of Digital Information and Web Technologies.

[44]  Hanqiang Cao,et al.  Multisensor image fusion using fast discrete curvelet transform , 2007, International Symposium on Multispectral Image Processing and Pattern Recognition.

[45]  Firooz Sadjadi,et al.  Comparative Image Fusion Analysais , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[46]  Bin Xiao,et al.  Fusion of Multimodal Color Medical Images Using Quaternion Principal Component Analysis , 2017, ICPCSEE.

[47]  Seong-Whan Lee,et al.  Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis , 2014, NeuroImage.

[48]  Berkman Sahiner,et al.  Deep learning in medical imaging and radiation therapy. , 2018, Medical physics.

[49]  Zheng Liu,et al.  Human visual system inspired multi-modal medical image fusion framework , 2013, Expert Syst. Appl..

[50]  D. Sudha Rani,et al.  Comparison of Medical Image Fusion Methods using Image Quality Metrics , 2018, 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT).

[51]  Jin Longxu,et al.  Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength , 2018 .

[52]  Rabab Kreidieh Ward,et al.  Deep learning for pixel-level image fusion: Recent advances and future prospects , 2018, Inf. Fusion.

[53]  P. Mathiyalagan.  Multi-Modal Medical Image Fusion Using Curvelet Algorithm , 2018, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[54]  Vincent Barra,et al.  A General Framework for the Fusion of Anatomical and Functional Medical Images , 2001, NeuroImage.

[55]  Y. Kiran Kumar.  Three-Band MRI Image Fusion: A Curvelet Transform Approach , 2009 .

[56]  Jundong Liu,et al.  Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis , 2017, Pattern Recognit..

[57]  Berkman Sahiner,et al.  Seamless Lesion Insertion for Data Augmentation in CAD Training , 2017, IEEE Transactions on Medical Imaging.

[58]  Yu Liu,et al.  Multi-focus image fusion with a deep convolutional neural network , 2017, Inf. Fusion.

[59]  Syed Muhammad Anwar,et al.  Medical Image Analysis using Convolutional Neural Networks: A Review , 2017, Journal of Medical Systems.

[60]  Yoshua Bengio,et al.  Generative Adversarial Nets , 2014, NIPS.

[61]  Jeonghwan Gwak,et al.  Multiscale fusion of multimodal medical images using lifting scheme based biorthogonal wavelet transform , 2019, Optik.

[62]  Huan Zhang,et al.  Image Fusion of CT and MR with Sparse Representation in NSST Domain , 2017, Comput. Math. Methods Medicine.

[63]  G. Kutyniok,et al.  Irregular Shearlet Frames: Geometry and Approximation Properties , 2010, 1002.2657.

[64]  Malay Kumar Kundu,et al.  Corrections to "A Neuro-Fuzzy Approach for Medical Image Fusion" , 2015, IEEE Trans. Biomed. Eng..

[65]  Amlan Chakrabarti,et al.  Medical image fusion by combining SVD and shearlet transform , 2015, 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN).

[67]  Malay Kumar Kundu,et al.  NSCT-based multimodal medical image fusion using pulse-coupled neural network and modified spatial frequency , 2012, Medical & Biological Engineering & Computing.

[68]  Marimuthu Karuppiah,et al.  CT and MRI Image Fusion Based on Discrete Wavelet Transform and Type-2 Fuzzy Logic , 2017 .

[69]  Michael S. Lew,et al.  Deep learning for visual understanding: A review , 2016, Neurocomputing.

[70]  Aradhana M. Venkatesan,et al.  Image fusion and navigation platforms for percutaneous image-guided interventions , 2016, Abdominal Radiology.

[71]  Ying Han,et al.  Structure-aware image fusion , 2018, Optik.

[72]  Hong Peng,et al.  A novel fusion method based on dynamic threshold neural P systems and nonsubsampled contourlet transform for multi-modality medical images , 2021, Signal Process..

[73]  Shuaiqi Liu,et al.  Medical image fusion based on improved sum‐modified‐Laplacian , 2015, Int. J. Imaging Syst. Technol..

[74]  V. Bhavana,et al.  A survey on multi - modality medical image fusion , 2016, 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[75]  Vince D. Calhoun,et al.  A deep-learning approach to translate between brain structure and functional connectivity , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[76]  Demetrio Labate,et al.  Optimally Sparse Multidimensional Representation Using Shearlets , 2007, SIAM J. Math. Anal..

[77]  Huiguang He,et al.  Computer-Aided Prognosis: Accurate Prediction of Patients with Neurologic and Psychiatric Diseases via Multi-modal MRI Analysis , 2018 .

[78]  V Bhavana,et al.  Multi-Modality Medical Image Fusion using Discrete Wavelet Transform , 2015 .

[79]  Wei Tang,et al.  Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial Networks , 2019, Comput. Math. Methods Medicine.

[80]  Zhao Jie,et al.  Medical Image Fusion Based on Rolling Guidance Filter and Spiking Cortical Model , 2015, Computational and mathematical methods in medicine.

[81]  Rutuparna Panda,et al.  EBFS-ICA: An Efficient Algorithm for CT-MRI Image Fusion , 2010, SEMCCO.

[82]  Biswajit Biswas,et al.  Color PET-MRI Medical Image Fusion Combining Matching Regional Spectrum in Shearlet Domain , 2019, Int. J. Image Graph..

[83]  Zhongliang Jing,et al.  Medical image fusion with a shift-invariant morphological wavelet , 2008, 2008 IEEE Conference on Cybernetics and Intelligent Systems.

[84]  Belur V. Dasarathy,et al.  Medical Image Fusion: A survey of the state of the art , 2013, Inf. Fusion.

[85]  V. Vaithiyanathan,et al.  Medical Image Fusion and Segmentation Using Coarse-To-Fine Level Set with Brovey Transform Fusion , 2012 .

[86]  Yu Liu,et al.  A general framework for image fusion based on multi-scale transform and sparse representation , 2015, Inf. Fusion.

[87]  Mingjing Li,et al.  Review of image fusion algorithm based on multiscale decomposition , 2013, Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC).

[88]  Mahua Bhattacharya,et al.  Evolutionary algorithm based automated medical image fusion technique: Comparative study with fuzzy fusion approach , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[89]  D. Labate,et al.  CONSTRUCTION OF REGULAR AND IRREGULAR SHEARLET FRAMES , 2007 .

[90]  Jingyu Hou,et al.  Multimodal sensor medical image fusion based on nonsubsampled shearlet transform and S-PCNNs in HSV space , 2018, Signal Process..

[91]  Cheng Shangli,et al.  Medical Image of PET/CT Weighted Fusion Based on Wavelet Transform , 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

[92]  Wenjuan Zhang,et al.  Fusion of Brain PET and MRI Images Using Tissue-Aware Conditional Generative Adversarial Network With Joint Loss , 2020, IEEE Access.

[93]  Muhammad Imran Razzak,et al.  Deep Learning for Medical Image Processing: Overview, Challenges and Future , 2017, ArXiv.

[94]  Meenu Manchanda,et al.  An improved multimodal medical image fusion algorithm based on fuzzy transform , 2018, J. Vis. Commun. Image Represent..

[95]  J. Anitha,et al.  Optimum laplacian wavelet mask based medical image using hybrid cuckoo search - grey wolf optimization algorithm , 2017, Knowl. Based Syst..

[96]  Yuemin Zhu,et al.  Multi-kernel SVM based classification for tumor segmentation by fusion of MRI images , 2009, 2009 IEEE International Workshop on Imaging Systems and Techniques.

[97]  Nikolaos Doulamis,et al.  Deep Learning for Computer Vision: A Brief Review , 2018, Comput. Intell. Neurosci..

[98]  Cedric Nishan Canagarajah,et al.  Pixel- and region-based image fusion with complex wavelets , 2007, Inf. Fusion.

[99]  Minh N. Do,et al.  Ieee Transactions on Image Processing the Contourlet Transform: an Efficient Directional Multiresolution Image Representation , 2022 .

[100]  Weisheng Li,et al.  Anatomical-Functional Image Fusion by Information of Interest in Local Laplacian Filtering Domain , 2017, IEEE Transactions on Image Processing.

[101]  Jeng-Shyang Pan,et al.  NSCT-Based Multimodal Medical Image Fusion With Sparse Representation and Pulse Coupled Neural Network , 2016, J. Inf. Hiding Multim. Signal Process..

[102]  Sheng Xu,et al.  Image fusion during vascular and nonvascular image-guided procedures. , 2013, Techniques in vascular and interventional radiology.

[103]  Zheng Liu,et al.  Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[104]  Jinying Zhong,et al.  Remote Sensing Image Fusion with Convolutional Neural Network , 2016 .

[105]  Zhi-fang Liu,et al.  Quality Assessment of Image Fusion Based on Image Content and Structural Similarity , 2010, 2010 2nd International Conference on Information Engineering and Computer Science.

[106]  Shutao Li,et al.  Pixel-level image fusion: A survey of the state of the art , 2017, Inf. Fusion.

[107]  Minh N. Do,et al.  The Nonsubsampled Contourlet Transform: Theory, Design, and Applications , 2006, IEEE Transactions on Image Processing.

[108]  K. Narasimhan,et al.  Performance evaluation of image fusion using the Multi-Wavelet and Curvelet transforms , 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).

[109]  Shengdong Nie,et al.  Medical Image Fusion in Gradient Domain with Structure Tensor , 2016 .

[110]  Rick S. Blum,et al.  A new automated quality assessment algorithm for image fusion , 2009, Image Vis. Comput..

[111]  Hamid Reza Shahdoosti,et al.  MRI and PET image fusion using structure tensor and dual ripplet-II transform , 2017, Multimedia Tools and Applications.

[112]  Biswajit Biswas,et al.  Medical image fusion using type-2 fuzzy and near-fuzzy set approach , 2017 .

[113]  Ezzeddine Zagrouba,et al.  Multimodal Image Fusion Based on Non-subsampled Shearlet Transform and Neuro-Fuzzy , 2016 .

[114]  Pingkun Yan,et al.  Deep learning in medical image registration: a survey , 2020, Machine Vision and Applications.

[115]  Nemir Al-Azzawi,et al.  Improved CT-MR Image Fusion Scheme Using Dual Tree Complex Contourlet Transform Based on PCA , 2010, Int. J. Inf. Acquis..

[116]  Supriya Dhabal,et al.  On Combination of Fuzzy Memberships for Medical Image Fusion using NSST based Fuzzy-PCNN , 2018, 2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT).

[117]  Changjiang Zhang,et al.  Brain MRI tumor image fusion combined with Shearlet and wavelet , 2017, Other Conferences.

[118]  Wang-Q Lim,et al.  Sparse multidimensional representation using shearlets , 2005, SPIE Optics + Photonics.

[119]  Biplab Kanti Sen,et al.  Medical image fusion technique based on type-2 near fuzzy set , 2015, 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN).

[120]  K Padmavathi,et al.  Medical image fusion of different modalities using dual tree complex wavelet transform with PCA , 2016, 2016 International Conference on Circuits, Controls, Communications and Computing (I4C).

[121]  Sidong Liu,et al.  Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease , 2015, IEEE Transactions on Biomedical Engineering.

[122]  Sunil Agrawal,et al.  From Multi-Scale Decomposition to Non-Multi-Scale Decomposition Methods: A Comprehensive Survey of Image Fusion Techniques and Its Applications , 2017, IEEE Access.

[123]  Mingjing Li,et al.  Review on technology of pixel-level image fusion , 2013, Proceedings of 2013 2nd International Conference on Measurement, Information and Control.

[124]  Sabalan Daneshvar,et al.  MRI and PET image fusion by combining IHS and retina-inspired models , 2010, Inf. Fusion.

[125]  Juan Wang,et al.  Improved Image Fusion Method Based on NSCT and Accelerated NMF , 2012, Sensors.

[127]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[128]  Yan Cui,et al.  Feature Learning Using Stacked Autoencoder for Shared and Multimodal Fusion of Medical Images , 2018, Computational Intelligence: Theories, Applications and Future Directions - Volume I.

[129]  R. S. Anand,et al.  Ripplet domain fusion approach for CT and MR medical image information , 2018, Biomedical Signal Processing and Control.

[130]  L. Yang,et al.  Multimodality medical image fusion based on multiscale geometric analysis of contourlet transform , 2008, Neurocomputing.

[131]  Kang Zhang,et al.  Remote sensing image fusion via RPCA and adaptive PCNN in NSST domain , 2018, Int. J. Wavelets Multiresolution Inf. Process..

[132]  Vladimir Petrovic,et al.  Objective evaluation of signal-level image fusion performance , 2005 .

[133]  P. Chinmayi,et al.  Survey of Image Processing Techniques in Medical Image Analysis: Challenges and Methodologies , 2016, SoCPaR.

[134]  Ying Zhu,et al.  Review of Image Fusion Based on Pulse-Coupled Neural Network , 2015, Archives of Computational Methods in Engineering.

[135]  Wei Guo,et al.  Multi-focus image fusion based on nonsubsampled compactly supported shearlet transform , 2017, Multimedia Tools and Applications.

[136]  Wade L Thorstad,et al.  Role of fusion in radiotherapy treatment planning. , 2003, Seminars in nuclear medicine.

[137]  Hassan Ghassemian,et al.  Multimodal image fusion via sparse representation and clustering-based dictionary learning algorithm in NonSubsampled Contourlet domain , 2016, 2016 8th International Symposium on Telecommunications (IST).

[138]  Vikrant Bhateja,et al.  Multispectral medical image fusion in Contourlet domain for computer based diagnosis of Alzheimer's disease. , 2016, The Review of scientific instruments.

[139]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[140]  Hamid Behnam,et al.  MRI-PET image fusion based on NSCT transform using local energy and local variance fusion rules , 2014, Journal of medical engineering & technology.

[141]  V. Ashwini,et al.  Modified dual channel PCNN algorithm with hybrid edge enhancement approach for multimodality brain image fusion , 2017 .

[142]  Ahmadreza Baghaie,et al.  Curvelet Transform-based volume fusion for correcting signal loss artifacts in Time-of-Flight Magnetic Resonance Angiography data , 2018, Comput. Biol. Medicine.

[143]  Yufeng Yu,et al.  An adaptive two-scale biomedical image fusion method with statistical comparisons , 2020, Comput. Methods Programs Biomed..

[144]  Hassan Ghassemian,et al.  A review of remote sensing image fusion methods , 2016, Inf. Fusion.

[145]  Bhabatosh Chanda,et al.  Fusion of 2D grayscale images using multiscale morphology , 2001, Pattern Recognit..

[146]  Iqbal Gondal,et al.  Support vector machine and generalized regression neural network based classification fusion models for cancer diagnosis , 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

[147]  Jingwen Yan,et al.  Algorithm for image fusion based on orthogonal grouplet transform and pulse-coupled neural network , 2013, J. Electronic Imaging.

[148]  Yu Liu,et al.  Medical Image Fusion by Combining Nonsubsampled Contourlet Transform and Sparse Representation , 2014, CCPR.

[149]  Jie Yang,et al.  A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI , 2018, ICONIP.

[150]  Zhongliang Jing,et al.  Review of pixel-level image fusion , 2010 .

[151]  Amandeep Kaur,et al.  Improved Image Fusion of Colored and Grayscale Medical Images Based on Intuitionistic Fuzzy Sets , 2018 .

[152]  Chongzhao Han,et al.  Poisson image fusion based on Markov random field fusion model , 2013, Inf. Fusion.

[153]  Dong Liu,et al.  Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model , 2018, Medical & Biological Engineering & Computing.

[154]  Laurent Demanet,et al.  Fast Discrete Curvelet Transforms , 2006, Multiscale Model. Simul..

[155]  Lipo Wang,et al.  Deep Learning Applications in Medical Image Analysis , 2018, IEEE Access.

[156]  Xavier Lladó,et al.  Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review , 2017, Artif. Intell. Medicine.

[157]  Ashish Khare,et al.  Fusion of multimodal medical images using Daubechies complex wavelet transform - A multiresolution approach , 2014, Inf. Fusion.

[158]  Hadi Seyedarabi,et al.  PET and MRI image fusion based on combination of 2-D Hilbert transform and IHS method , 2017, Biomedical journal.

[159]  Sehat Ullah,et al.  Medical image registration in image guided surgery: Issues, challenges and research opportunities , 2017 .

[160]  Karishma C Bhataria,et al.  A Review of Image Fusion Techniques , 2018, 2018 Second International Conference on Computing Methodologies and Communication (ICCMC).

[161]  Isma Hamid,et al.  Multi-modal medical image fusion using 2DPCA , 2017, 2017 2nd International Conference on Image, Vision and Computing (ICIVC).

[162]  Image Fusion Method Based on Fuzzy Entropy and Wavelet Transform , 2008, 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop.

[163]  Ezzeddine Zagrouba,et al.  Review of multiscale geometric decompositions in a remote sensing context , 2016, J. Electronic Imaging.

[164]  Nor Aniza Abdullah,et al.  Maximizing Information of Multimodality Brain Image Fusion Using Curvelet Transform with Genetic Algorithm , 2014, 2014 International Conference on Computer Assisted System in Health.

[165]  Reghunadhan Rajesh,et al.  Medical Image Fusion using Combined Discrete Wavelet and Ripplet Transforms , 2012 .

[166]  Jingwen Yan,et al.  Image Fusion Algorithm Based on Spatia Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain: Image Fusion Algorithm Based on Spatia Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain , 2009 .

[167]  Zhiming Cui,et al.  Medical Image Fusion Based on Wavelet Transform and Independent Component Analysis , 2009, 2009 International Joint Conference on Artificial Intelligence.

[168]  G. Easley,et al.  Sparse directional image representations using the discrete shearlet transform , 2008 .

[169]  F.E. Abd El-Samie,et al.  A curvelet transform approach for the fusion of MR and CT images , 2010 .

[170]  Yun Zhang,et al.  Wavelet based image fusion techniques — An introduction, review and comparison , 2007 .

[171]  Hassan Ghassemian,et al.  Combination of wavelet and contourlet transforms for PET and MRI image fusion , 2017, 2017 Artificial Intelligence and Signal Processing Conference (AISP).

[172]  S. Srinivas Kumar,et al.  Multimodal Medical Image Fusion Based on Sugeno's Intuitionistic Fuzzy Sets , 2017 .

[173]  Xin Yu,et al.  Medical Image Fusion Based on Fast Finite Shearlet Transform and Sparse Representation , 2019, Comput. Math. Methods Medicine.

[174]  Aimin Hao,et al.  Multimodal medical image fusion using improved multi-channel PCNN. , 2014, Bio-medical materials and engineering.

[175]  N. B. Padmavathi,et al.  Fusion of multimodal abdominal cancerous images and classification using support vector machine , 2017, 2017 International Conference on Intelligent Sustainable Systems (ICISS).

[176]  Vince D. Calhoun,et al.  Feature-Based Fusion of Medical Imaging Data , 2009, IEEE Transactions on Information Technology in Biomedicine.

[177]  Murugan Pallikonda Rajasekaran,et al.  Multimodality image fusion using centre-based genetic algorithm and fuzzy logic , 2018 .

[178]  Vikrant Bhateja,et al.  Medical image fusion with Laplacian Pyramids , 2014, 2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom).

[179]  Ezzeddine Zagrouba,et al.  Convolutional neural network-based multimodal image fusion via similarity learning in the shearlet domain , 2018, Neural Computing and Applications.

[180]  Ujwala Patil,et al.  Image fusion using hierarchical PCA. , 2011, 2011 International Conference on Image Information Processing.

[181]  Anna Wang,et al.  Research on Medical Image Fusion Based on Orthogonal Wavelet Packets Transformation Combined with 2v-SVM , 2007, 2007 IEEE/ICME International Conference on Complex Medical Engineering.

[182]  Haixu Wang,et al.  Multimodal medical image fusion based on IHS and PCA , 2010 .

[183]  A. Hegde,et al.  A Review of Quality Metrics for Fused Image , 2015 .

[184]  Fang Ye,et al.  Multimodal medical image fusion based on nonsubsampled contourlet transform using improved PCNN , 2016, 2016 IEEE 13th International Conference on Signal Processing (ICSP).

[185]  Stewart Marshall,et al.  Multires-olution morphological fusion of mr and ct images of the human brain , 1994 .

[186]  U. Tiwary,et al.  Feature level fusion of multimodal medical images in lifting wavelet transform domain , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[187]  Biplab K. Sen,et al.  Medical image fusion using PCNN and Poisson-hidden Markov model , 2018 .

[188]  Yong Jiang,et al.  Image fusion with morphological component analysis , 2014, Inf. Fusion.

[189]  E. Candès,et al.  Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges , 2000 .

[190]  Bram van Ginneken,et al.  A survey on deep learning in medical image analysis , 2017, Medical Image Anal..

[191]  Prabhpreet Kaur,et al.  Survey on multifocus image fusion techniques , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[192]  Zoubeida Messali,et al.  A novel image fusion algorithm based on 2D scale-mixing complex wavelet transform and Bayesian MAP estimation for multimodal medical images , 2017 .

[193]  S. Muttan,et al.  Iterative block level principal component averaging medical image fusion , 2014 .

[194]  Belur V. Dasarathy,et al.  A Review of Feature and Data Fusion with Medical Images , 2015, ArXiv.

[195]  Dongrui Wu,et al.  Two Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers: Adaptiveness and Novelty , 2013, Advances in Type-2 Fuzzy Sets and Systems.

[196]  Pagavathigounder Balasubramaniam,et al.  Image fusion using intuitionistic fuzzy sets , 2014, Inf. Fusion.

[197]  Vikrant Bhateja,et al.  PCA Based Medical Image Fusion in Ridgelet Domain , 2014, FICTA.

[198]  Xun Chen,et al.  Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain , 2019, IEEE Transactions on Instrumentation and Measurement.

[199]  Sandeep Paul,et al.  A review on advances in deep learning , 2015, 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI).

[200]  Aolei Yang,et al.  Survey of Multi-sensor Image Fusion , 2014 .

[201]  Hanseok Ko,et al.  Joint patch clustering-based dictionary learning for multimodal image fusion , 2016, Inf. Fusion.

[202]  Rupali Mankar,et al.  Multimodal medical image fusion under nonsubsampled contourlet transform domain , 2015, 2015 International Conference on Communications and Signal Processing (ICCSP).

[203]  Yide Ma,et al.  Medical image fusion using m-PCNN , 2008, Inf. Fusion.

[204]  Chun He,et al.  Medical Image Fusion Combined with Accelerated Non-negative Matrix Factorization and Expanded Laplacian Energy in Shearlet Domain , 2017 .

[205]  Jiayi Ma,et al.  Infrared and visible image fusion methods and applications: A survey , 2018, Inf. Fusion.

[206]  L.L. Lai,et al.  Medical diagnostic image data fusion based on wavelet transformation and self-organising features mapping neural networks , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[207]  Cheng-I Chen,et al.  Fusion of PET and MR Brain Images Based on IHS and Log-Gabor Transforms , 2017, IEEE Sensors Journal.

[208]  Rabab Kreidieh Ward,et al.  Image Fusion With Convolutional Sparse Representation , 2016, IEEE Signal Processing Letters.

[209]  Jean-Marc Constans,et al.  A framework of fuzzy information fusion for the segmentation of brain tumor tissues on MR images , 2007, Image Vis. Comput..

[210]  C. Chellamuthu,et al.  Fusion of SPECT and MRI images using integer wavelet transform in combination with curvelet transform , 2015 .

[211]  Deepak Gambhir,et al.  Multimodal Medical Image Fusion Based on Discrete Wavelet Transform and Genetic Algorithm , 2020 .

[212]  Shutao Li,et al.  Pixel-level image fusion with simultaneous orthogonal matching pursuit , 2012, Inf. Fusion.