Narrow-Energy-Width CT Based on Multivoltage X-Ray Image Decomposition

A polychromatic X-ray beam causes the grey of the reconstructed image to depend on its position within a solid and the material being imaged. This factor makes quantitative measurements via computed tomography (CT) imaging very difficult. To obtain a narrow-energy-width reconstructed image, we propo...

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Main Authors: Jiaotong Wei, Yan Han, Ping Chen
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2017/8126019
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author Jiaotong Wei
Yan Han
Ping Chen
author_facet Jiaotong Wei
Yan Han
Ping Chen
author_sort Jiaotong Wei
collection DOAJ
description A polychromatic X-ray beam causes the grey of the reconstructed image to depend on its position within a solid and the material being imaged. This factor makes quantitative measurements via computed tomography (CT) imaging very difficult. To obtain a narrow-energy-width reconstructed image, we propose a model to decompose multivoltage X-ray images into many narrow-energy-width X-ray images by utilizing the low frequency characteristics of X-ray scattering. It needs no change of hardware in the typical CT system. Solving the decomposition model, narrow-energy-width projections are obtained and it is used to reconstruct the image. A cylinder composed of aluminum and silicon is used in a verification experiment. Some of the reconstructed images could be regarded as real narrow-energy-width reconstructed images, which demonstrates the effectiveness of the proposed method.
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institution Kabale University
issn 1687-4188
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language English
publishDate 2017-01-01
publisher Wiley
record_format Article
series International Journal of Biomedical Imaging
spelling doaj-art-69bdf8ed5b7345fa939c615896687c6b2025-02-03T06:00:56ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962017-01-01201710.1155/2017/81260198126019Narrow-Energy-Width CT Based on Multivoltage X-Ray Image DecompositionJiaotong Wei0Yan Han1Ping Chen2Shanxi Key Laboratory of Signal Capturing & Processing, North University of China, Taiyuan 030051, ChinaShanxi Key Laboratory of Signal Capturing & Processing, North University of China, Taiyuan 030051, ChinaShanxi Key Laboratory of Signal Capturing & Processing, North University of China, Taiyuan 030051, ChinaA polychromatic X-ray beam causes the grey of the reconstructed image to depend on its position within a solid and the material being imaged. This factor makes quantitative measurements via computed tomography (CT) imaging very difficult. To obtain a narrow-energy-width reconstructed image, we propose a model to decompose multivoltage X-ray images into many narrow-energy-width X-ray images by utilizing the low frequency characteristics of X-ray scattering. It needs no change of hardware in the typical CT system. Solving the decomposition model, narrow-energy-width projections are obtained and it is used to reconstruct the image. A cylinder composed of aluminum and silicon is used in a verification experiment. Some of the reconstructed images could be regarded as real narrow-energy-width reconstructed images, which demonstrates the effectiveness of the proposed method.http://dx.doi.org/10.1155/2017/8126019
spellingShingle Jiaotong Wei
Yan Han
Ping Chen
Narrow-Energy-Width CT Based on Multivoltage X-Ray Image Decomposition
International Journal of Biomedical Imaging
title Narrow-Energy-Width CT Based on Multivoltage X-Ray Image Decomposition
title_full Narrow-Energy-Width CT Based on Multivoltage X-Ray Image Decomposition
title_fullStr Narrow-Energy-Width CT Based on Multivoltage X-Ray Image Decomposition
title_full_unstemmed Narrow-Energy-Width CT Based on Multivoltage X-Ray Image Decomposition
title_short Narrow-Energy-Width CT Based on Multivoltage X-Ray Image Decomposition
title_sort narrow energy width ct based on multivoltage x ray image decomposition
url http://dx.doi.org/10.1155/2017/8126019
work_keys_str_mv AT jiaotongwei narrowenergywidthctbasedonmultivoltagexrayimagedecomposition
AT yanhan narrowenergywidthctbasedonmultivoltagexrayimagedecomposition
AT pingchen narrowenergywidthctbasedonmultivoltagexrayimagedecomposition