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Usage of biorthogonal wavelet filtering algorithm in data processing of biomedical images

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Abstract

Though bi-orthogonal filtering (BWF) algorithm has been applied in image processing, the image after processing still has the phenomenon of edge distortion. To improve the image processing effect of BWF algorithm, genetic algorithm was introduced to optimize BWF algorithm, and optimized biorthogonal filtering algorithm (OBWF) was established. Computed tomography (CT), magnetic resonance imaging (MRI), and digital subtraction angiography (DSA) were employed as biomedical imaging data processing objects. The results of OBWF algorithm and other algorithms were analyzed under the same conditions regarding the changes of the peak signal to noise ratio, structural similarity index (SSIM), normalized mean absolute deviation (NMAD), background contrast (C), and mean offset CII index. The results showed that the PSNR and SSIM of the biomedical image data processed by the OBWF algorithm were higher and the NMAD value was lower than those of other algorithms. The C of the biomedical image after processing by the OBWF algorithm was 0.2393 higher than that of the BWF, and the CII was 0.9862 higher than the discrete sequence wavelet transform (DSWT) algorithm. The processing times of OBWF algorithm for CT, MRI, and DSA biomedical image data were 3.029 s, 2.239 s, and 68.745 s, respectively, which were lower than the times of other algorithms (P < 0.001). In short, OBWF could improve the quality of biomedical image data and reduce the running time, which provided a reference for data processing of biomedical images.

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Acknowledgements

This achievement was financially supported by the Soft science research project of Shaanxi Science and Technology Department (S2016YFRM0140).

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Authors and Affiliations

  1. State-Owned Assets Management, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an City, 710061, China

    Xiaoyi Chang, Yuebin Li & Chao Zhao

  2. Departments of Cardiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an City, 710061, China

    Ting Bai & Tianrong Qu

  3. Radiology Department (PET/CT), The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an City, 710061, China

    Jungang Gao

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  1. Xiaoyi Chang
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Correspondence to Chao Zhao.

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Chang, X., Li, Y., Bai, T. et al. Usage of biorthogonal wavelet filtering algorithm in data processing of biomedical images. J Supercomput 78, 17920–17942 (2022). https://doi.org/10.1007/s11227-022-04535-y

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