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Study on Construction of a Medical X-Ray Direct Digital Radiography System and Hybrid Preprocessing Methods

We construct a medical X-ray direct digital radiography (DDR) system based on a CCD (charge-coupled devices) camera. For the original images captured from X-ray exposure, computer first executes image flat-field correction and image gamma correction, and then carries out image contrast enhancement....

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Detalles Bibliográficos
Autores principales: Ren, Yong, Wu, Sheng, Wang, Mijian, Cen, Zhongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074983/
https://www.ncbi.nlm.nih.gov/pubmed/25013452
http://dx.doi.org/10.1155/2014/495729
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author Ren, Yong
Wu, Sheng
Wang, Mijian
Cen, Zhongjie
author_facet Ren, Yong
Wu, Sheng
Wang, Mijian
Cen, Zhongjie
author_sort Ren, Yong
collection PubMed
description We construct a medical X-ray direct digital radiography (DDR) system based on a CCD (charge-coupled devices) camera. For the original images captured from X-ray exposure, computer first executes image flat-field correction and image gamma correction, and then carries out image contrast enhancement. A hybrid image contrast enhancement algorithm which is based on sharp frequency localization-contourlet transform (SFL-CT) and contrast limited adaptive histogram equalization (CLAHE), is proposed and verified by the clinical DDR images. Experimental results show that, for the medical X-ray DDR images, the proposed comprehensive preprocessing algorithm can not only greatly enhance the contrast and detail information, but also improve the resolution capability of DDR system.
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spelling pubmed-40749832014-07-10 Study on Construction of a Medical X-Ray Direct Digital Radiography System and Hybrid Preprocessing Methods Ren, Yong Wu, Sheng Wang, Mijian Cen, Zhongjie Comput Math Methods Med Research Article We construct a medical X-ray direct digital radiography (DDR) system based on a CCD (charge-coupled devices) camera. For the original images captured from X-ray exposure, computer first executes image flat-field correction and image gamma correction, and then carries out image contrast enhancement. A hybrid image contrast enhancement algorithm which is based on sharp frequency localization-contourlet transform (SFL-CT) and contrast limited adaptive histogram equalization (CLAHE), is proposed and verified by the clinical DDR images. Experimental results show that, for the medical X-ray DDR images, the proposed comprehensive preprocessing algorithm can not only greatly enhance the contrast and detail information, but also improve the resolution capability of DDR system. Hindawi Publishing Corporation 2014 2014-06-11 /pmc/articles/PMC4074983/ /pubmed/25013452 http://dx.doi.org/10.1155/2014/495729 Text en Copyright © 2014 Yong Ren et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ren, Yong
Wu, Sheng
Wang, Mijian
Cen, Zhongjie
Study on Construction of a Medical X-Ray Direct Digital Radiography System and Hybrid Preprocessing Methods
title Study on Construction of a Medical X-Ray Direct Digital Radiography System and Hybrid Preprocessing Methods
title_full Study on Construction of a Medical X-Ray Direct Digital Radiography System and Hybrid Preprocessing Methods
title_fullStr Study on Construction of a Medical X-Ray Direct Digital Radiography System and Hybrid Preprocessing Methods
title_full_unstemmed Study on Construction of a Medical X-Ray Direct Digital Radiography System and Hybrid Preprocessing Methods
title_short Study on Construction of a Medical X-Ray Direct Digital Radiography System and Hybrid Preprocessing Methods
title_sort study on construction of a medical x-ray direct digital radiography system and hybrid preprocessing methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074983/
https://www.ncbi.nlm.nih.gov/pubmed/25013452
http://dx.doi.org/10.1155/2014/495729
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