A Survey on Multi - Modality Medical Image Fusion

被引:0
|
作者
Bhavana, V [1 ]
Krishnappa, H. K. [2 ]
机构
[1] Amrita Univ, Amrita Vishwa Vidyapeetham, Amrita Sch Engn Bengaluru, Dept Elect & Commun Engn, Coimbatore, Tamil Nadu, India
[2] RV Coll Engn, Dept Comp Sci & Engn, Bengaluru, India
关键词
Multi -modal medical images; image fusion; clinical diagnosis;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Medical imaging modalities such as magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET) etc have been developed and widely used for clinical diagnosis. In brain medical imaging, MRI image shows structural information of the brain without any functional data, where as PET image describes functional information of the brain but with low spatial resolution and so on. These multimodality images contain important information for the accurate and effective diagnosis of brain diseases. Thus, fusing various modalities of images in medical field into a distinct image with more detailed anatomical information and high spectral information is highly desired in clinical diagnosis. This work presents a detailed literature review done on image fusion and also the concepts and materials that helps for clear understanding of various fusion techniques.
引用
收藏
页码:1326 / 1329
页数:4
相关论文
共 50 条
  • [1] The application of wavelet transform to multi-modality medical image fusion
    Wang, Anna
    Sun, Haijing
    Guan, Yueyang
    [J]. PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, 2006, : 270 - 274
  • [2] A novel dictionary learning approach for multi-modality medical image fusion
    Zhu, Zhiqin
    Chai, Yi
    Yin, Hongpeng
    Li, Yanxia
    Liu, Zhaodong
    [J]. NEUROCOMPUTING, 2016, 214 : 471 - 482
  • [3] Multi-Modality Medical Image Fusion using Discrete Wavelet Transform
    Bhavana, V
    Krishnappa, H. K.
    [J]. PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON ECO-FRIENDLY COMPUTING AND COMMUNICATION SYSTEMS, 2015, 70 : 625 - 631
  • [4] Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation
    Huang, Ling
    Denoeux, Thierry
    Vera, Pierre
    Ruan, Su
    [J]. MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT V, 2022, 13435 : 401 - 411
  • [5] A review: Deep learning for medical image segmentation using multi-modality fusion
    Zhou, Tongxue
    Ruan, Su
    Canu, Stephane
    [J]. ARRAY, 2019, 3-4
  • [6] The application of multi-modality medical image fusion based method to cerebral infarction
    Dai, Yin
    Zhou, Zixia
    Xu, Lu
    [J]. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2017,
  • [7] The application of multi-modality medical image fusion based method to cerebral infarction
    Yin Dai
    Zixia Zhou
    Lu Xu
    [J]. EURASIP Journal on Image and Video Processing, 2017
  • [8] Multi-Modality Medical Image Fusion Based on Wavelet Analysis and Quality Evaluation
    Yu Lifeng
    & Zu Donglin Institute of Heavy Ion Physics
    [J]. Journal of Systems Engineering and Electronics, 2001, (01) : 42 - 48
  • [9] A Non-Conventional Review on Multi-Modality-Based Medical Image Fusion
    Diwakar, Manoj
    Singh, Prabhishek
    Ravi, Vinayakumar
    Maurya, Ankur
    [J]. DIAGNOSTICS, 2023, 13 (05)
  • [10] Multi-modality medical image, fusion method based on wavelet packet transform
    Li Wei
    Zhu Xue-feng
    [J]. PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2, 2005, : 737 - +