Comparison of two methods of noise power spectrum determinations of medical radiography 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). We compared two methods of NPS determination namely the methods of Wagner and Dobbins on Lanex Regular TMG screen-film system and Hologic Lorad...
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American Institute of Physics
2011
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my.utm.288982017-02-05T00:09:10Z http://eprints.utm.my/id/eprint/28898/ Comparison of two methods of noise power spectrum determinations of medical radiography systems Wan Hassan, Wan Muhamad Saridan Darwish, Z. A. GE Environmental Sciences Noise in medical images is recognized as an important factor that determines the image quality. Image noise is characterized by noise power spectrum (NPS). We compared two methods of NPS determination namely the methods of Wagner and Dobbins on Lanex Regular TMG screen-film system and Hologic Lorad Selenia full field digital mammography system, with the aim of choosing the better method to use. The methods differ in terms of various parametric choices and algorithm implementations. These parameters include the low pass filtering, low frequency filtering, windowing, smoothing, aperture correction, overlapping of region of interest (ROI), length of fast Fourier transform, ROI size, method of ROI normalization, and slice selection of the NPS. Overall, the two methods agreed to the practical value of noise power spectrum between 10 -3-10-6mm2 over spatial frequency range 0-10mm-1. American Institute of Physics Teck, Yong Tou Abd Shukor, Roslan Sithi Muniandy, Sithi Muniandy Ah, Heng You Weng, Lee Lim 2011 Book Section PeerReviewed Wan Hassan, Wan Muhamad Saridan and Darwish, Z. A. (2011) Comparison of two methods of noise power spectrum determinations of medical radiography systems. In: Malaysia Annual Physics Conference 2010 (PERFIK-2010). American Institute of Physics, New York, pp. 321-323. ISBN 978-073540883-8 http://dx.doi.org/10.1063/1.3573765 10.1063/1.3573765 |
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GE Environmental Sciences Wan Hassan, Wan Muhamad Saridan Darwish, Z. A. Comparison of two methods of noise power spectrum determinations of medical radiography systems |
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Noise in medical images is recognized as an important factor that determines the image quality. Image noise is characterized by noise power spectrum (NPS). We compared two methods of NPS determination namely the methods of Wagner and Dobbins on Lanex Regular TMG screen-film system and Hologic Lorad Selenia full field digital mammography system, with the aim of choosing the better method to use. The methods differ in terms of various parametric choices and algorithm implementations. These parameters include the low pass filtering, low frequency filtering, windowing, smoothing, aperture correction, overlapping of region of interest (ROI), length of fast Fourier transform, ROI size, method of ROI normalization, and slice selection of the NPS. Overall, the two methods agreed to the practical value of noise power spectrum between 10 -3-10-6mm2 over spatial frequency range 0-10mm-1. |
author2 |
Teck, Yong Tou |
author_facet |
Teck, Yong Tou Wan Hassan, Wan Muhamad Saridan Darwish, Z. A. |
format |
Book Section |
author |
Wan Hassan, Wan Muhamad Saridan Darwish, Z. A. |
author_sort |
Wan Hassan, Wan Muhamad Saridan |
title |
Comparison of two methods of noise power spectrum determinations of medical radiography systems |
title_short |
Comparison of two methods of noise power spectrum determinations of medical radiography systems |
title_full |
Comparison of two methods of noise power spectrum determinations of medical radiography systems |
title_fullStr |
Comparison of two methods of noise power spectrum determinations of medical radiography systems |
title_full_unstemmed |
Comparison of two methods of noise power spectrum determinations of medical radiography systems |
title_sort |
comparison of two methods of noise power spectrum determinations of medical radiography systems |
publisher |
American Institute of Physics |
publishDate |
2011 |
url |
http://eprints.utm.my/id/eprint/28898/ http://dx.doi.org/10.1063/1.3573765 |
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