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ASSESSMENT CRITERIA OF MEDICAL IMAGE QUALITY OBTAINED FROM MULTISPIRAL COMPUTER TOMOGRAPHY SCANNER

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The role of multispiral computed tomography scanners in the field of modern medicine is incomparable. This, in turn, is causing a dramatic increase in the number of medical images obtained from these medical imaging devices. However, in some cases, these medical images may be susceptible to various artifacts and noise during the imaging and transmission process, which in turn leads to a decrease in image quality. It is very important to evaluate and improve the quality of images obtained from such multispiral CT scanners to ensure their reliability for diagnostic and analytical purposes. This research paper focuses on image quality assessment for medical images without relying on a reference image. Noise is the main factor that reduces image quality in computed tomography. For this reason, this research examines 7 types of noise commonly found in images. For each type of noisy image, 12 methods of noise reduction are used. After these filters are applied to medical images, it is important to determine the most effective filter in image noise reduction by evaluating the image quality. For this reason, 3 no reference criteria are used to evaluate the quality of the processed image, and a filter and criterion rule are developed for each type of noise.

AUTHORS

N.Mamatov

National Research University Tashkent Institute of Irrigation and Agricultural Mechanization Engineers.

P.Sultanov

Republican Research Centre of Emergency Medicine.

M.Jalelova

Karakalpak State University named after Berdakh.

Tags

# image quality# качество изображения# multispiral computed tomography# шум# noise# шовқин# Gaussian distribution# no-reference evaluation# BRISQUE# NIQE# BIQI# NSS# мультиспиральная компьютерная т# безбенчмарковая оценка# распределение Гаусса# мультиспиралли компьютер томогра# тасвир сифати# эталонсиз баҳолаш# Гаусс тақсимоти

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https://eroi.uz/11.0206/A0524-0079

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