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

Arif, Jahwar; Basher, Thabit E; Sabri, Shaimaa Q.; Salih, Hakar J. Mohamed; Taqa, Ghada Abd Alrhman; Rasool, Diyar A; CINAR, Ahmet

doi:10.33899/edusj.2024.145133.1

	Assessment of The Effects of The Number of Projections And Use of Selected Filters on A Reconstructed Artificial Phantom
Journal of Education and Science
Volume 33, Issue 1, March 2024, Pages 84-89 PDF (764.31 K)
Document Type: Research Paper
DOI: 10.33899/edusj.2024.145133.1
Authors
Jahwar Arif^* ¹; Thabit E Basher²; Shaimaa Q. Sabri¹; Hakar J. Mohamed Salih¹; Ghada Abd alrhman Taqa^* ³; Diyar A Rasool⁴; Ahmet CINAR⁵
¹Department of Computer Sciences, College of Science, University of Zakho, Duhok, Iraq
²Department of Environment Sciences, College of Science, University of Zakho, Duhok, Iraq
³Department od dental basic sceince ,dentistry college ,mosul university ,mosul ,iraq
⁴Department of physics, College of Education, University of Salahaddin ,Erbil , Iraq
⁵Department of Computer Engineering, College of Engineering, Fırat University, Elazığ, Türkiye
Abstract
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.
Keywords
Filtered Back Projection (FBP); Phantom; Reconstruction; Noise; Image Projection

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