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Please use this identifier to cite or link to this item: http://dspace.vgtu.lt/handle/1/4088

Title: Model for Elimination of Mixed Noise from MRI Heart Images
Authors: Shlykov, Vladyslav
Kotovskyi, Vitalii
Višniakov, Nikolaj
Šešok, Andžela
Keywords: fluctuation noise
impulse noise
noise suppression
cardiac surgery
biological object
Issue Date: 2020
Publisher: MDPI
Citation: Shlykov, V.; Kotovskyi, V.; Višniakov, N.; Šešok, A. Model for Elimination of Mixed Noise from MRI Heart Images. Appl. Sci. 2020, 10, 4747.
Series/Report no.: 10;14
Abstract: A method for the preliminary processing of MRI images of the heart that allows for the elimination of fluctuation and impulse noise from useful signals is proposed. These types of noise are due to the regular geometric structure of the photoelectric elements of the MRI scanner matrix and the structure of the signal transmission channel. The aim of this work is to develop a comprehensive mathematical model for eliminating noise in the signal of an MRI scanner. In this work, mathematical models of linear and median filtering of impulse noise, fluctuation, and geometric noise are implemented. The mathematical models consist of the combined use of linear and median filters for recording MRI images of the heart. In the experiments, real MRI images of the heart from six patients with different diseases were used after noise was added to them. We were able to eliminate the impulse noise, geometric noise, and fluctuation noise in the MRI images by applying our filtering techniques. The filtering technique not only removed the noise, but also increased the contrast of the cancerous volumetric heterogeneous formations in the heart region.
Description: This article belongs to the Section Applied Biosciences and Bioengineering
URI: http://dspace.vgtu.lt/handle/1/4088
ISSN: 2076-3417
Appears in Collections:Moksliniai straipsniai / Research articles

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