Comparison of the noise power spectrum properties of medical x-ray imaging systems

Noise in medical images is recognized as an important factor that determines the image quality. Image noise is characterized by noise power spectrum (NPS). Four methods of NPS determination were compared: Wagner, Beutel, Dobbins and Samei's methods on Lanex Regular/ TMG screen-film system and H...

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主要作者: Darwish, Zeki Ahmed
格式: Thesis
語言:English
出版: 2011
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spelling my-utm-ep.264532021-08-27T01:27:37Z Comparison of the noise power spectrum properties of medical x-ray imaging systems 2011 Darwish, Zeki Ahmed Q Science (General) Noise in medical images is recognized as an important factor that determines the image quality. Image noise is characterized by noise power spectrum (NPS). Four methods of NPS determination were compared: Wagner, Beutel, Dobbins and Samei's methods on Lanex Regular/ TMG screen-film system and Hologic Lorad Selenia Full Field Digital Mammography system, with the aim of selecting the best method to use. These methods differ in terms of various parametric choices and algorithm implementations. The one-dimensional moving-slit method has been used in the past to characterize the NPS of analogue screen film system (Wagner's method). Beutel's method offers the advantage of providing a value of the NPS at zero frequency along with NPS calculated via autocorrelation function (ACF). The moving slit and ACF methods have been replaced by a 2-D Fourier analysis method with the advent of fast Fourier transform and faster computers. This method is based on two techniques. The first is based on the extraction of a one-dimensional slice through the two-dimensional NPS parallel to and immediately adjacent to the axes (Dobbins's method). The second is based on the extraction of a one-dimensional slice through the two-dimensional NPS, just on the axes (Samei's method). NPS computation using different methods have been attempted using codes written in MATLAB. Overall, the four methods generate a practical value of noise power spectrum between 10–3 – 10–6 mm2 at spatial frequency range 0 – 10 mm–1. It was found that the Dobbins’s method was the best method for NPS determination. 2011 Thesis http://eprints.utm.my/id/eprint/26453/ http://eprints.utm.my/id/eprint/26453/1/ZekiAhmedDarwishMFS2011.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:132494 masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic Q Science (General)
spellingShingle Q Science (General)
Darwish, Zeki Ahmed
Comparison of the noise power spectrum properties of medical x-ray imaging systems
description Noise in medical images is recognized as an important factor that determines the image quality. Image noise is characterized by noise power spectrum (NPS). Four methods of NPS determination were compared: Wagner, Beutel, Dobbins and Samei's methods on Lanex Regular/ TMG screen-film system and Hologic Lorad Selenia Full Field Digital Mammography system, with the aim of selecting the best method to use. These methods differ in terms of various parametric choices and algorithm implementations. The one-dimensional moving-slit method has been used in the past to characterize the NPS of analogue screen film system (Wagner's method). Beutel's method offers the advantage of providing a value of the NPS at zero frequency along with NPS calculated via autocorrelation function (ACF). The moving slit and ACF methods have been replaced by a 2-D Fourier analysis method with the advent of fast Fourier transform and faster computers. This method is based on two techniques. The first is based on the extraction of a one-dimensional slice through the two-dimensional NPS parallel to and immediately adjacent to the axes (Dobbins's method). The second is based on the extraction of a one-dimensional slice through the two-dimensional NPS, just on the axes (Samei's method). NPS computation using different methods have been attempted using codes written in MATLAB. Overall, the four methods generate a practical value of noise power spectrum between 10–3 – 10–6 mm2 at spatial frequency range 0 – 10 mm–1. It was found that the Dobbins’s method was the best method for NPS determination.
format Thesis
qualification_level Master's degree
author Darwish, Zeki Ahmed
author_facet Darwish, Zeki Ahmed
author_sort Darwish, Zeki Ahmed
title Comparison of the noise power spectrum properties of medical x-ray imaging systems
title_short Comparison of the noise power spectrum properties of medical x-ray imaging systems
title_full Comparison of the noise power spectrum properties of medical x-ray imaging systems
title_fullStr Comparison of the noise power spectrum properties of medical x-ray imaging systems
title_full_unstemmed Comparison of the noise power spectrum properties of medical x-ray imaging systems
title_sort comparison of the noise power spectrum properties of medical x-ray imaging systems
granting_institution Universiti Teknologi Malaysia, Faculty of Science
granting_department Faculty of Science
publishDate 2011
url http://eprints.utm.my/id/eprint/26453/1/ZekiAhmedDarwishMFS2011.pdf
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