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[The study of associated reconstruction using MV linear accelerator and cone-beam CT]

[The study of associated reconstruction using MV linear accelerator and cone-beam CT] Research Abstract Details 

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  • [The study of associated reconstruction using MV linear accelerator and cone-beam CT] Abstract Text:

    zun-gang liuZun-gang Liu,jun zhaoJun Zhao,tian-ge zhuangTian-ge Zhuang,

    In this paper, we proposed a new scan mode and image reconstruction method, which combines the data from both the linear accelerator and the cone-beam CT to reconstruct the volume with a limited rotation angle and low sampling rate. The classical filtered backprojection method and the iterative method are utilized to reconstruct the volume. The reconstruction results of the two methods are compared with each other with a relavant anlysis given here.

    [The study of associated reconstruction using MV linear accelerator and cone-beam CT] Publishing Authors By Initials

    zg liuZG Liu,j zhaoJ Zhao,tg zhuangTG Zhuang,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    [The study of associated reconstruction using MV linear accelerator and cone-beam CT] Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Zhongguo yi liao qi xie za zhi = Chinese journal o

    VOLUME: 30

    Page Numbers: 271-3

    Journal Abbreviation:

    ISSN: 1671-7104

    DAY: 16

    MONTH: Jul

    YEAR: 2006

    [The study of associated reconstruction using MV linear accelerator and cone-beam CT] Information

    Number of References:

    LANGUAGE: chi

    NlmUniqueID: 9426153

    [The study of associated reconstruction using MV linear accelerator and cone-beam CT] Keywords Mesh Terms:

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    Grant and Affiliation Information for [The study of associated reconstruction using MV linear accelerator and cone-beam CT]

    AFFILIATION: Dept. of Biomedical Engineering, College of Life Science and Biotechndogy, SJTU, Shanghai, 200240.

    Country: China

    China Research PublicationChina Research Publication

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    MEDLINETA: Zhongguo Yi Liao Qi Xie Za Zhi

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