公开(公告)号：US09020230B2

公开(公告)日：2015-04-28

申请号：US13287589

申请日：2011-11-02

申请人： Zhou Yu ,  Evgeny Drapkin ,  Bruno Kristiaan Bernard De Man ,  Jean-Baptiste Thibault ,  Kai Zeng ,  Jiang Hsieh ,  Brian Edward Nett ,  Debashish Pal ,  Lin Fu ,  Guangzhi Cao ,  Charles A. Bouman, Jr. ,  Ken David Sauer

发明人： Zhou Yu ,  Evgeny Drapkin ,  Bruno Kristiaan Bernard De Man ,  Jean-Baptiste Thibault ,  Kai Zeng ,  Jiang Hsieh ,  Brian Edward Nett ,  Debashish Pal ,  Lin Fu ,  Guangzhi Cao ,  Charles A. Bouman, Jr. ,  Ken David Sauer

IPC分类号： G06T11/00

CPC分类号： G06T11/006 ,  G06T2211/424 ,  G06T2211/428

摘要： A method for reconstructing an image of an object that includes a plurality of image elements. The method includes accessing image data associated with a plurality of image elements, and reconstructing an image of the object by optimizing an objective function, where the objective function is optimized by iteratively solving a nested sequence of approximate optimization problems. The algorithm is composed of nested iterative loops, in which an inner loop iteratively optimizes an objective function approximating the outer loop objective function, and an outer loop that utilizes the solution of the inner loop to optimize the original objective function.

摘要翻译： 一种用于重构包括多个图像元素的对象的图像的方法。 该方法包括访问与多个图像元素相关联的图像数据，以及通过优化目标函数来重构对象的图像，其中通过迭代地求解近似优化问题的嵌套序列来优化目标函数。 该算法由嵌套迭代循环组成，其中内循环迭代地优化近似外循环目标函数的目标函数，以及利用内循环的解来优化原始目标函数的外循环。

公开(公告)号：US08923583B2

公开(公告)日：2014-12-30

申请号：US13530846

申请日：2012-06-22

申请人： Jean-Baptiste Thibault ,  Charles A. Bouman, Jr. ,  Ruoqiao Zhang ,  Jiang Hsieh ,  Ken David Sauer

发明人： Jean-Baptiste Thibault ,  Charles A. Bouman, Jr. ,  Ruoqiao Zhang ,  Jiang Hsieh ,  Ken David Sauer

IPC分类号： G06K9/00

CPC分类号： G06T11/006 ,  G06T2211/408 ,  G06T2211/424

摘要： A method for reconstructing image component densities of an object includes acquiring multi-spectral x-ray tomographic data, performing a material decomposition of the multi-spectral x-ray tomographic data to generate a plurality of material sinograms, and reconstructing a plurality of material component density images by iteratively optimizing a functional that includes a joint likelihood term of at least two of the material decomposed sinograms. An x-ray tomography imaging system and a non-transitory computer readable medium are also described herein.

摘要翻译： 用于重建对象的图像分量密度的方法包括获取多光谱X射线断层数据，执行多光谱X射线断层数据的材料分解以产生多个材料正弦图，以及重建多个材料成分 通过迭代地优化包括材料分解的正弦图中的至少两个的联合似然项的函数来确定密度图像。 本文还描述了X射线层析成像系统和非暂时性计算机可读介质。

公开(公告)号：US5047842A

公开(公告)日：1991-09-10

申请号：US431487

申请日：1989-11-03

申请人： Charles A. Bouman, Jr. ,  Michael T. Orchard

发明人： Charles A. Bouman, Jr. ,  Michael T. Orchard

IPC分类号： G06T11/00

CPC分类号： G06T11/001

摘要： A method for creating from a digitized color image, a tree structured partitioning of all pixels in the image into M disjoint sets, with the pixels in each set having similar color values, the method comprising the steps of: separating and assigning all pixels in the image into disjoint sets so as to minimize the difference between the respective pixel color values in each set; selecting one of the sets which has a greatest variation of color values of assigned pixels, and separating and assigning all pixels in the selected set into new, disjoint sets, with the pixels assigned so as to minimize the differences between their respective color values; continuing the selecting, separating and assigning steps for sets until a total of M sets have been derived; and then assigning to all pixels in each set, a mean color value calculated from all pixel colors in the set.

摘要翻译： 一种用于从数字化彩色图像创建图像中所有像素的树结构划分为M个不相交集合的方法，其中每个集合中的像素具有相似的颜色值，所述方法包括以下步骤：分离和分配所述图像中的所有像素 图像变成不相交集合，以便最小化每组中各个像素颜色值之间的差异; 选择具有分配像素的颜色值的最大变化的集合中的一个，并且将所选集合中的所有像素分离并分配为新的不相交集合，分配所述像素以最小化它们各自的颜色值之间的差异; 继续选择，分离和分配集合步骤，直到导出总共M个集合; 然后分配给每个集合中的所有像素，从集合中的所有像素颜色计算出的平均颜色值。