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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 8

Multimodal medical image fusion algorithm for edge texture preservation

Ke Changhao
Wang Xiaoming
School of Computer & Software Engineering, Xihua University, Chengdu 610039, China
DOI: 10.19734/j.issn.1001-3695.2024.11.0507

Abstract

Multimodal medical image fusion is of great significance for clinical diagnosis and has now become an important method for medical diagnostic experts to predict and diagnose diseases. To address the problems of loss of detailed texture information and unclear structure during multimodal medical image fusion, this paper proposed an unsupervised end-to-end fusion network incorporating masking technology termed ETPFusion. The method used an edge texture preservation module, which can preserve more texture detail information in the feature encoding stage. Secondly, to capture the dependencies of different locations of the feature map in the feature decoding stage, this network introduced a double convolution module. Meanwhile, considering that the feature information may be gradually lost as the number of network layers increases, this network embedded the edge texture preservation module in the residual learning as a way to supplement the texture feature information and reduce the redundant information in the source image. The texture information mask module is the most important part in the image reconstruction stage, which aims to strengthen the texture information of the feature map and extract its fine-grained information. Comparison experiments with multiple methods on multiple fusion tasks showed that the proposed method ETPFusion achieved an average improvement of 4.79%, 9.38%, 17.7% and 26.36% in MI, NMI, PSNR and VIF metrics, respectively, resulting in excellent fusion effects and higher practical value in fields such as clinical diagnosis.

Foundation Support

四川省科技计划重点研究项目(2023YFG0098)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.11.0507
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 8

Publish History

[2025-03-21] Accepted Paper

Cite This Article

柯长豪, 王晓明. 针对边缘纹理保留的多模态医学图像融合算法 [J]. 计算机应用研究, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0507. (Ke Changhao, Wang Xiaoming. Multimodal medical image fusion algorithm for edge texture preservation [J]. Application Research of Computers, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0507. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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