Some applications of partial differential equations in medical image processing

<div>The second-order nonlinear diffusion parabolic partial differential equations models have been widely applied in image restoration. However, the numerical results in the literature treat only the case without source term. In this paper, we have developed a general calculation code which is based in a consistent explicit approximation finite difference method scheme. Furthermore, the paper provides satisfying answers with a nonlinear source term relying on the image solution and its gradient. Numerical experiments are presented to show the robustness of the cases with source term to obtain better results in image denoising restoration using measures as Peak Signal-to-Noise Ratio (PSNR) and SNR of filtering and noisy image.</div>

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Publication Details

Journal
Mathematics and Systems Science
Published
2025-04-08
DOI
https://doi.org/10.54517/mss3148
Primary Topic
Mathematical Biology Tumor Growth
Type
article
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article

Some applications of partial differential equations in medical image processing

Bassam Al-Hamzah, Fahmi Al-Hamzah
Mathematics and Systems Science
Mathematical Biology Tumor Growth
article

Some applications of partial differential equations in medical image processing

Bassam Al-Hamzah, Fahmi Al-Hamzah
article en

Abstract

<div>The second-order nonlinear diffusion parabolic partial differential equations models have been widely applied in image restoration. However, the numerical results in the literature treat only the case without source term. In this paper, we have developed a general calculation code which is based in a consistent explicit approximation finite difference method scheme. Furthermore, the paper provides satisfying answers with a nonlinear source term relying on the image solution and its gradient. Numerical experiments are presented to show the robustness of the cases with source term to obtain better results in image denoising restoration using measures as Peak Signal-to-Noise Ratio (PSNR) and SNR of filtering and noisy image.</div>

Mathematics and Systems ScienceVol. 3(2)
Saba University (YE), Hamad Medical Corporation (QA)
Openalex Percentile: Top 92%
Mathematical Biology Tumor Growth
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