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COMPREHENSIVE APPROACH TO MRI IMAGE PREPROCESSING BASED ON FILTERING AND QUALITY ASSESSMENT

Authors

Name Affiliation
Akbota Kumarkanova D. Serikbayev East Kazakhstan Technical University
Akerke Tankibayeva D. Serikbayev East Kazakhstan Technical University
Aizhan Tlebaldinova D. Serikbayev East Kazakhstan Technical University
Markhaba Karmenova S. Amanzholov East Kazakhstan University
Сауле Кумаргажанова ВКТУ им.Д.Серикбаева

Published:

2025-07-06

Section:

Information and communication technologies

Article language:

Kazakh

Keywords:

image quality, MRI images, preprocessing, filtering methods, quality assessment methods

Abstract

This paper considers the problem of improving the quality of MRI images by applying various filtering methods. A comparative analysis of the Laplace, Non-Local Means and Unsharp Mask filters is carried out based on numerical quality metrics (MSE, PSNR, SSIM), as well as a subjective assessment of the visual clarity of images. As a result, a combined approach to preprocessing is developed that provides a balance between noise suppression and preservation of diagnostically significant information. The presented results demonstrate the effectiveness of the proposed method and its potential for use in automated MRI data analysis systems.

Author Biographies

Akbota Kumarkanova

Master of Technical Sciences, Teacher of the School of Digital Technology and artificial intelligence

Akerke Tankibayeva

Master of Engineering and Technology, phD student  Educational Program «Information Systems (by Industry)»

Aizhan Tlebaldinova

PhD, Associate Professor, Associate professor of the School Digital Technology and Artificial Intelligence

Markhaba Karmenova

phD, Associate Professor of the Department of Computer Modeling and Information Technologies

Article cover image
Kumarkanova, A., Tankibayeva, A., Tlebaldinova , A., Karmenova, M., & Кумаргажанова, С. (2025). COMPREHENSIVE APPROACH TO MRI IMAGE PREPROCESSING BASED ON FILTERING AND QUALITY ASSESSMENT. Вестник ВКТУ, (2). Retrieved from https://vestnik.ektu.kz/index.php/vestnik/article/view/1208

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