The Improvement of Katsevich Reconstruction Algorithm Based on Cone-Beam CT

The Katsevich reconstruction algorithm based on cone-beam must compute the derivative of projection data in the reconstruction process, but projection data are discrete and haven’t derivative. So the derivatives of the polynomial interpolation function are as approximation of the derivative of proje...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 239-240; pp. 1148 - 1151
Main Author Wang, Li Fang
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.01.2013
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ISBN9783037855454
3037855452
ISSN1660-9336
1662-7482
1662-7482
DOI10.4028/www.scientific.net/AMM.239-240.1148

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Summary:The Katsevich reconstruction algorithm based on cone-beam must compute the derivative of projection data in the reconstruction process, but projection data are discrete and haven’t derivative. So the derivatives of the polynomial interpolation function are as approximation of the derivative of projection data. To verify the effectiveness of this method, 3D Shepp-Logan model is reconstructed by the method and the average gradient is used to measure the clarity of image. The experimental results show that this method enables image clearer and improves image quality
Bibliography:Selected, peer reviewed papers from the 2012 International Conference on Measurement, Instrumentation and Automation (ICMIA 2012), September 15-16, 2012, Guangzhou, China
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ISBN:9783037855454
3037855452
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.239-240.1148