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Multi-modal Medical Image Fusion Method Based on Multi-scale Analysis and PCNN

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2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 102))

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Abstract

In order to solve the problem that the objective measurement functions based on the gray value used in single-modality registration could not describe the differences among multi-modal images adequately, and the problem that the blurring edge and insufficient complementary information in current multi-modal medical image fusion methods. We propose a multi-modal medical image fusion method based on multi-scale analysis and PCNN. Firstly, we use the multi-scale filter image enhancement algorithm in image pre-processing. Secondly, the local feature descriptors modality mapping method is used in image registration. Thirdly, the algorithm based on improved guided filtering and dual-channel pulse coupling neural network is image fusion. The experiment results show that the proposed algorithm can effectively retain the detail texture information, feature information and contour information of the source images. The proposed algorithm improves the definition, robustness and efficiency effectively.

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Acknowledgements

This work was, in part, supported by the Liaoning Province Education Department Project (Grant No. JZR2019002, SYDR202005); Liaoning Province Natural Science Fund (Grant No. 2019-ZD-0355).

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Authors and Affiliations

  1. School of Intelligence and Electronic Engineering, Dalian Neusoft University of Information, Dalian, Liaoning, China

    Hui Li

  2. School of Computer and Software, Dalian Neusoft University of Information, Dalian, Liaoning, China

    Qiang Miao

Authors
  1. Hui Li
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  2. Qiang Miao
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Corresponding author

Correspondence to Hui Li .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  2. University of Aizu, Aizuwakamatsu, Japan

    Neil Yen

  3. Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Li, H., Miao, Q. (2022). Multi-modal Medical Image Fusion Method Based on Multi-scale Analysis and PCNN. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 102. Springer, Singapore. https://doi.org/10.1007/978-981-16-7466-2_15

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