Imaging system for generating a substantially exact reconstruction of a region of interest
    61.
    发明授权
    Imaging system for generating a substantially exact reconstruction of a region of interest 有权
    用于产生感兴趣区域的基本精确重建的成像系统

    公开(公告)号:US07394923B2

    公开(公告)日:2008-07-01

    申请号:US11054788

    申请日:2005-02-10

    Abstract: A method and apparatus for reconstruction of a region of interest for an object is provided. The reconstruction of the object may be based on chords which may fill a part, all, or more than all of the region of interest. Using chords for reconstruction may allow for reducing data acquired and/or processing for reconstructing a substantially exact image of the ROI. Moreover, various methodologies may be used in reconstructing the image, such as backprojection-filtration, and modified filtration backprojection.

    Abstract translation: 提供了一种用于重建对象的感兴趣区域的方法和装置。 对象的重建可以基于可以填充所有感兴趣区域的全部或全部的和弦。 使用和弦进行重建可以允许减少获得的数据和/或用于重建ROI的基本上精确的图像的处理。 此外,各种方法可用于重建图像,例如反投影过滤和修改过滤反投影。

    Method and system for representing and displaying digital ink

    公开(公告)号:US07057615B2

    公开(公告)日:2006-06-06

    申请号:US09894824

    申请日:2001-06-28

    CPC classification number: G06T11/203 G06K9/222

    Abstract: A method and system for compressing and displaying a digital ink trace. Raw ink data is smoothed, and sharp points of the smoothed line are found. Curve-fitting is then used to generate a mathematical expression that defines the line segments between adjacent sharp points. The ink trace then is represented by a backbone spline that includes the sharp points and the mathematical expressions for the line segments. Thickness information, such as pressure or acceleration information, is combined with the backbone spline to provide a compressed ink file that represents a contour curve of the original ink trace. A display module uses an algorithm to separate the contour curve into a sequence of straight lines. A set of pixels is then generated for the display of each straight line using a novel antialiasing method. The pixels at the ends of adjacent straight lines are aligned using a weighting algorithm.

    Tuple reduction for hierarchies of a dimension

    公开(公告)号:US09886460B2

    公开(公告)日:2018-02-06

    申请号:US13611106

    申请日:2012-09-12

    CPC classification number: G06F17/30321 G06F17/30592 G06F17/30946

    Abstract: According to one embodiment of the present invention, a level of a first hierarchy and a second hierarchy of data attributes is determined where the first hierarchy and the second hierarchy share the determined level and each subordinate hierarchical level. The embodiment further removes from a set of tuples of a database operation at least one tuple that lacks corresponding data in a data source based on the tuple containing elements corresponding to non-intersecting sets of attributes at the determined level. Embodiments of the present invention include a method, system and computer program product for reducing tuple sets in substantially the same manner described above.

    Method and system for spectral computed tomography (CT) with sparse photon counting detectors
    67.
    发明授权
    Method and system for spectral computed tomography (CT) with sparse photon counting detectors 有权
    具有稀疏光子计数检测器的光谱计算机断层摄影(CT)的方法和系统

    公开(公告)号:US09119589B2

    公开(公告)日:2015-09-01

    申请号:US13426903

    申请日:2012-03-22

    Applicant: Yu Zou

    Inventor: Yu Zou

    CPC classification number: A61B6/482 A61B6/032 A61B6/4241 A61B6/4266

    Abstract: Photon counting detectors are sparsely placed at predetermined positions in the fourth-generation geometry around an object to be scanned in spectral Computer Tomography (CT). Optionally, integrating detectors are placed between the two adjacent ones of the sparsely placed photon counting detectors in the fourth-generation geometry. Furthermore, the integrating detectors are placed in the third-generation in combination to the sparsely placed photon counting detectors at predetermined positions in the fourth-generation geometry.

    Abstract translation: 光子计数检测器以频谱计算机断层扫描(CT)在待扫描物体周围的第四代几何图形中稀疏地放置在预定位置。 可选地,在第四代几何中,集成检测器被放置在稀疏放置的光子计数检测器中的两个相邻的检测器之间。 此外,集成检测器与第四代几何中的预定位置处的稀疏放置的光子计数检测器组合放置在第三代中。

    TUPLE REDUCTION FOR HIERARCHIES OF A DIMENSION
    68.
    发明申请
    TUPLE REDUCTION FOR HIERARCHIES OF A DIMENSION 有权
    尺寸缩小的TUPLE减少

    公开(公告)号:US20140074769A1

    公开(公告)日:2014-03-13

    申请号:US13611106

    申请日:2012-09-12

    CPC classification number: G06F17/30321 G06F17/30592 G06F17/30946

    Abstract: According to one embodiment of the present invention, a level of a first hierarchy and a second hierarchy of data attributes is determined where the first hierarchy and the second hierarchy share the determined level and each subordinate hierarchical level. The embodiment further removes from a set of tuples of a database operation at least one tuple that lacks corresponding data in a data source based on the tuple containing elements corresponding to non-intersecting sets of attributes at the determined level. Embodiments of the present invention include a method, system and computer program product for reducing tuple sets in substantially the same manner described above.

    Abstract translation: 根据本发明的一个实施例,确定数据属性的第一层次和第二层级,其中第一层次和第二层次共享所确定的级别和每个从属层级。 该实施例进一步从数据库操作的一组元组中删除至少一个在数据源中缺少相应数据的元组,其中所述元组包含与所确定的级别上的与非相交属性集相对应的元素。 本发明的实施例包括用于以与上述基本相同的方式减少元组的方法,系统和计算机程序产品。

    Combination weight applied to iterative reconstruction in image reconstruction
    69.
    发明授权
    Combination weight applied to iterative reconstruction in image reconstruction 有权
    组合权重应用于图像重建中的迭代重建

    公开(公告)号:US08571291B2

    公开(公告)日:2013-10-29

    申请号:US13276609

    申请日:2011-10-19

    CPC classification number: G06T11/006 G06T2211/424

    Abstract: The image generation method and system generates an image using a predetermined iterative reconstruction technique, and an instance of the iteration process is weighted according to a predetermined combination of weights during the reconstruction. The predetermined combination of the weights includes weights based upon a predetermined noise model and a predetermined window function to improve image quality.

    Abstract translation: 图像生成方法和系统使用预定的迭代重建技术生成图像,并且根据重建期间的预定权重组合对迭代处理的实例进行加权。 权重的预定组合包括基于预定噪声模型和预定窗函数的权重,以改善图像质量。

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