METHOD FOR ENERGY SENSITIVE COMPUTED TOMOGRAPHY USING CHECKERBOARD FILTERING
    13.
    发明申请
    METHOD FOR ENERGY SENSITIVE COMPUTED TOMOGRAPHY USING CHECKERBOARD FILTERING 有权
    使用检查板过滤的能量敏感计算机图像的方法

    公开(公告)号:US20100278296A1

    公开(公告)日:2010-11-04

    申请号:US12432225

    申请日:2009-04-29

    Abstract: Methods for energy-sensitive computed tomography systems that use checkerboard filtering. A method of enhancing image analysis of projection data acquired using a detector configured with a checkerboard filter includes disposing in a system a detector to receive a transmitted beam of X-rays traversing through an object, where the system is configured so the detector receives both high- and one of total- and low-energy projection data; receiving the high- and one of total- and low-energy projection data at the detector; and then estimating an effective atomic number of the object and/or processing the projection data so as to mitigate reconstruction artifacts. The present invention has been described in terms of specific embodiment(s), and it is recognized that equivalents, alternatives, and modifications, aside from those expressly stated, are possible and within the scope of the appended claims.

    Abstract translation: 使用棋盘过滤的能量敏感计算机断层摄影系统的方法。 使用配置有棋盘滤波器的检测器获取的投影数据的图像分析增强方法包括在系统中设置检测器以接收穿过物体的X射线的透射束,其中系统配置为使得检测器接收高 - 和总能量和低能量投影数据之一; 在检测器处接收高能量投影数据和低能量投影数据之一; 然后估计对象的有效原子数和/或处理投影数据,以便减轻重建伪像。 已经根据具体实施例描述了本发明,并且认识到除了明确说明的那些之外的等同物,替代方案和修改是可能的并且在所附权利要求的范围内。

    Method and apparatus for calibrating volumetric computed tomography systems
    15.
    发明授权
    Method and apparatus for calibrating volumetric computed tomography systems 失效
    用于校准体积计算机断层摄影系统的方法和装置

    公开(公告)号:US07016456B2

    公开(公告)日:2006-03-21

    申请号:US10699087

    申请日:2003-10-31

    CPC classification number: A61B6/583 A61B6/032

    Abstract: The present invention provides a method for determining a geometry of a scanning volumetric computed tomographic (CT) system having a rotation axis, a rotational plane, an x-ray source and a detector. The method includes scanning a phantom having a series of spatially separated discrete markers with the scanning volumetric computed tomographic system, wherein the markers are configured on a supporting structure of the phantom so as to permit separate identification of each marker in a collection of projection images. The method further includes locating images of the markers in each projection, using the located marker images to assign marker locations to tracks, and using the assigned tracks, determining a relative alignment between the detector, the source, and the rotation axis of the scanning volumetric computed tomographic system.

    Abstract translation: 本发明提供了一种用于确定具有旋转轴,旋转平面,x射线源和检测器的扫描体积计算机断层摄影(CT)系统的几何形状的方法。 该方法包括用扫描体积计算机断层摄影系统扫描具有一系列空间分离的离散标记的体模,其中标记被配置在体模的支撑结构上,以允许在投影图像的集合中单独识别每个标记。 该方法还包括使用定位的标记图像将标记的图像定位在每个投影中,以将标记位置分配给轨迹,并使用分配的轨迹,确定扫描体积的检测器,源和旋转轴之间的相对对准 计算机断层摄影系统。

    Reconstruction of CT projection data
    20.
    发明申请
    Reconstruction of CT projection data 审中-公开
    重建CT投影数据

    公开(公告)号:US20080056432A1

    公开(公告)日:2008-03-06

    申请号:US11725877

    申请日:2007-03-20

    CPC classification number: G06T11/005 A61B6/027 G06T2211/416 H01J2235/068

    Abstract: Systems and methods are provided for reconstructing projection data that is mathematically complete or sufficient acquired using a computed tomography (CT) system. In one embodiment, a set of projection data representative of a sampled portion of a cylindrical surface is provided. The set of projection data is reconstructed using a suitable cone-beam reconstruction algorithm. In another embodiment, two or more sets of spatially interleaved helical projection data are processed using helical interpolation. The helically interpolated set of projection data is reconstructed using a two-dimensional axial reconstruction algorithm or a three-dimensional reconstruction algorithm.

    Abstract translation: 提供了系统和方法,用于重建使用计算机断层摄影(CT)系统获得的数学上完整或足够的投影数据。 在一个实施例中,提供了一组代表圆柱形表面的采样部分的投影数据。 使用合适的锥束重建算法重建投影数据集。 在另一个实施例中,使用螺旋插值来处理两组或多组空间交错的螺旋投影数据。 使用二维轴向重建算法或三维重建算法重建螺旋插值的投影数据集。

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