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    基于平行光孔和針孔準直器的腦SPECT系統的貝葉斯圖像重建算法
    來源: | 作者: | 發布時間:2013-11-12 15:38:06

    基于平行光孔和針孔準直器的腦SPECT系統的貝葉斯圖像重建算法

    黃秋
    (上海交通大學生物醫學工程學院)
    摘要:本文以一種新型的配備針孔準直器的SPECT系統為對象研究了圖像重建中的內問題。文章提出了扇形束SPECT投影數據的濾波反投影形式,并給出了截斷的反希爾伯特變換對存在內問題的投影數據進行了準確重建。
    關鍵詞:醫學影像;SPECT;內問題
    中圖分類號:R319

    Interior SPECT Reconstruction Problem - A Prelimilary Study for High Resolution Pinhole Brain Imaging
    Huang Qiu
    (School of Biomedical Engineering, Shanghai Jiao Tong University)
    Foundations: This work was supported by the Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP), China, Grant No. 20100073120003.
    Brief author introduction:Qiu Huang, Female, Associate Research Professor, Medical Imaging.

    Abstract: Kudo et al. presented a unique and stable solution to the interior problem in computed tomography (CT) given tiny a proiri knowledge of the object. In this work we advance their result to the interior reconstruction problem in SPECT where a uniform attenuation map is assumed in brain imaging. In the theory, differentiation followed by backprojection (DBP) of truncated SPECT data is shown to obtain the truncated weighted Hilbert transform. Then with a proiri information on a small part of the region-of-interest (ROI), the other part of the ROI is shown to be available using the projection onto convex sets (PCOS) method.
    Key words: interior problem, SPECT, uniform attenuation

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