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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/76962

    Title: 單光子放射顯微系統之校正與螺旋重建;System Calibration and Helical Reconstruction of Single Photon Emission Microscope
    Authors: 邑瑪儒;Revilla, Enette Mae C.
    Contributors: 光電科學與工程學系
    Keywords: 單光子放射顯微鏡(SPEM);幾何校正;成像模型;螺旋;Single photon emission microscope (SPEM);Geometric calibration;Imaging model;Helical
    Date: 2018-08-10
    Issue Date: 2018-08-31 11:54:42 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本論文以單光子放射顯微鏡(SPEM)作為影像擷取系統,進行此系
    統的幾何校正方法及螺旋掃描重建演算法的開發。SPEM 為單光子放
    碘化銫閃爍晶石、光影像縮倍管(DM tube)與電子增益電荷耦合元件
    立精確的影像系統矩陣,即 H 矩陣。我們利用系統的幾何校正與成
    像模型來建立 H 矩陣。為了取得七針孔 SPEM 系統的幾何架構,我
    們將 99mTc 注入三點射源假體作 64 個投影影像,用來估計系統的幾
    (PRFs)轉成二維高斯參數,並利用 PRFs 建立成像模型,包含通量與
    寬度模型。而藉由幾何參數與成像模型可以建立出完整的 H 矩陣。
    旋掃描軌跡,並重新設計 H 矩陣的排列方式,搭配最大可能性之期
    ;The single photon emission microscope (SPEM) is an instrument
    which is developed in order to acquire high spatial resolution single photon
    emission computer tomography (SPECT) projection images which are
    necessary for tomographic reconstruction. The SPEM system consists of a
    thallium-doped cesium iodide [CsI(Tl)] columnar scintillator, a 7-pinhole
    collimator, a demagnifying tube (DM Tube) and an electron-multiplying
    charge-coupling device (EMCCD).
    For any imaging system, it is crucial to have an accurate imaging
    system matrix, called H matrix, in order to obtain high spatial resolution
    image reconstructions. In order to generate the H matrix, geometric
    calibration and the established imaging model are used. In order to get the
    geometry of the 7-pinhole SPEM system, a three-point phantom filled with
    99mTc pertechnetate liquid solution is rotated in order to acquire 64
    projections. The geometry of the camera, including the pinhole positions,
    the parameters of the axis of rotation and the linear and rotary shifts are
    estimated by getting the centroids of the projections. The grid-scan
    experiment is used to parameterize the measured point response functions
    (PRFs) into 2D Gaussians. These PRFs is used to create the imaging model
    which consists of flux and width models. By having the geometric
    parameters and the established imaging model, the complete H matrix can
    be built.
    In this paper, a helical reconstruction algorithm is developed in order
    to lessen axial blurring brought by circular-orbit reconstructions and thus,
    improve sampling and increase resolution. The helical orbit is
    accomplished through the combination of circular motion and linear
    motion of the imaged object along the axis of rotation (AOR). The
    projection images of the three-point phantom and resolution phantom are
    reconstructed with the H matrix of the designed system. The image
    reconstruction software tool is based on the maximum likelihood algorithm
    and its ordered-subset version. Correction of the designed H matrix is
    being explored in order to produce better reconstruction images.
    Appears in Collections:[光電科學研究所] 博碩士論文

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