Multimodal medical image fusion based on edge enhancement and detail preservation

Mengya Li; Zhe Zhao; Yusong Lin

doi:10.1117/12.3033539

13 June 2024 Multimodal medical image fusion based on edge enhancement and detail preservation

Mengya Li, Zhe Zhao, Yusong Lin

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 1318058 (2024) https://doi.org/10.1117/12.3033539
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

We propose a multimodal medical image fusion method based on edge enhancement and detail preservation to address the issue of lost image details in current medical image fusion approaches. Firstly, we decompose the images from different modalities using the non-subsampled shearlet transform (NSST) to obtain their respective high-frequency and low-frequency subbands. Next, we employ a novel detail-preserving parameter adaptive pulse coupled neural network to fuse the high-frequency subbands, and an edge-enhanced weighted local energy method to fuse the low-frequency subbands. Finally, the fused image is reconstructed by performing inverse NSST on the fused high-frequency and low-frequency subbands. Experimental results demonstrate that our proposed method effectively preserves more detailed information from the source images and exhibits excellent performance in both subjective and objective evaluations when compared to seven commonly used multimodal medical image fusion methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mengya Li, Zhe Zhao, and Yusong Lin "Multimodal medical image fusion based on edge enhancement and detail preservation", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 1318058 (13 June 2024); https://doi.org/10.1117/12.3033539

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KEYWORDS

Image fusion

Medical imaging

Image enhancement

Magnetic resonance imaging

Computed tomography

Image filtering

Tunable filters

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