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Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Visual effects of medical image have a great impact on clinical assistant diagnosis.
At present, medical image fusion has become a powerful means of clinical application.
The traditional medical image fusion methods have the problem of poor fusion results due to the loss of detailed feature information during fusion.
To deal with it, this paper proposes a new multimodal medical image fusion method based on the imaging characteristics of medical images.
In the proposed method, the non-subsampled shearlet transform (NSST) decomposition is first performed on the source images to obtain high-frequency and low-frequency coefficients.
The high-frequency coefficients are fused by a parameter‐adaptive pulse-coupled neural network (PAPCNN) model.
The method is based on parameter adaptive and optimized connection strength β adopted to promote the performance.
The low-frequency coefficients are merged by the convolutional sparse representation (CSR) model.
The experimental results show that the proposed method solves the problems of difficult parameter setting and poor detail preservation of sparse representation during image fusion in traditional PCNN algorithms, and it has significant advantages in visual effect and objective indices compared with the existing mainstream fusion algorithms.
American Psychological Association (APA)
Xia, Jingming& Lu, Yi& Tan, Ling. 2020. Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139395
Modern Language Association (MLA)
Xia, Jingming…[et al.]. Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1139395
American Medical Association (AMA)
Xia, Jingming& Lu, Yi& Tan, Ling. Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139395
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139395