Assessment of The Effects of The Number of Projections And Use of Selected Filters on A Reconstructed Artificial Phantom

Appropriate selection of features may lead to the specificity of classification methods and identify the most critical features from all sparse or dense impact data using a filter based on the recognition selection method characterized. Filtration is used to reduce sample complexity, improve the cla...

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Published in:	al-Tarbiyah wa-al-ʻilm lil-ʻulūm al-insānīyah : majallah ʻilmīyah muḥakkamah taṣduru ʻan Kullīyat al-Tarbiyah lil-ʻUlūm al-Insānīyah fī Jāmiʻat al-Mawṣil Vol. 33; no. 1; pp. 84 - 89
Main Authors:	Jahwar Arif, Thabit Basher, Shaimaa Q. Sabri, Hakar J. Mohamed Salih, Ghada Taqa, Diyar A Rasool, Ahmet CINAR
Format:	Journal Article
Language:	Arabic English
Published:	College of Education for Pure Sciences 01-03-2024
Subjects:	filtered back projection (fbp) image projection noise phantom reconstruction
Online Access:	Get full text
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Summary:	Appropriate selection of features may lead to the specificity of classification methods and identify the most critical features from all sparse or dense impact data using a filter based on the recognition selection method characterized. Filtration is used to reduce sample complexity, improve the clarity of viscous samples, and reduce background signals, resulting in increased signal-to-noise ratios in analytical tests. Depending on the filtration method applied, particles are separated based on properties such as size. This study assessed the impact of filter selection and the variation in the number of projections on the final reconstructed artificial phantom images. Utilizing image reconstruction techniques, it delves into the application of mathematical transforms, including Radon and Fourier, to improve image quality and resolution, particularly in medical imaging modalities such as CT and MRI. The research predominantly focuses on the application of the Filtered Back Projection (FBP) algorithm to reconstruct images from changing numbers of projections. The results underscore the main role of filter choice in removing noise, with the Ramp filter presenting the most promising results. The investigation concludes that reducing the number of projections results in a decline in image contrast and an increase in image noise.
ISSN:	1812-125X 2664-2530
DOI:	10.33899/edusj.2024.145133.1411