SYSTEM AND METHOD FOR CORONARY SEGMENTATION AND VISUALIZATION
    1.
    发明申请
    SYSTEM AND METHOD FOR CORONARY SEGMENTATION AND VISUALIZATION 有权
    用于冠状动脉分段和可视化的系统和方法

    公开(公告)号:US20080100621A1

    公开(公告)日:2008-05-01

    申请号:US11870546

    申请日:2007-10-11

    Abstract: A method of coronary vessel segmentation and visualization includes providing a digitized coronary image, placing a plurality of seed points along an estimated centerline of a coronary vessel, selecting a seed point and constructing a cyclic graph around the seed point in a plane perpendicular to the centerline at the seed point, performing a multi-scale-mean shift filtering in the perpendicular plane to estimate image gradient values, detecting a vessel boundary using a minimum-mean-cycle optimization that minimizes a ratio of a cost of a cycle to a length of a cycle, constructing a sub-voxel accurate vessel boundary about a point on the centerline, and refining the location of the centerline point from the sub-voxel accurate boundary, where the steps of constructing a sub-voxel accurate vessel boundary and refining the centerline point location are repeated until convergence.

    Abstract translation: 冠状动脉血管分割和可视化的方法包括提供数字化冠状动脉图像,沿着冠状血管的估计中心线放置多个种子点,在垂直于中心线的平面中选择种子点和围绕种子点构建循环图 在种子点处,在垂直平面上执行多尺度均值偏移滤波以估计图像梯度值,使用最小平均周期优化来检测血管边界,所述最小平均周期优化使周期成本与长度的比率最小化 循环,围绕中心线上的点构建子体素准确的血管边界,并且从子体素精确边界改进中心线点的位置,其中构建子体素准确的血管边界并提炼中心线 点位置重复直到收敛。

    System and method for coronary segmentation and visualization
    2.
    发明授权
    System and method for coronary segmentation and visualization 有权
    冠状动脉分割和可视化的系统和方法

    公开(公告)号:US07990379B2

    公开(公告)日:2011-08-02

    申请号:US11870546

    申请日:2007-10-11

    Abstract: A method of coronary vessel segmentation and visualization includes providing a digitized coronary image, placing a plurality of seed points along an estimated centerline of a coronary vessel, selecting a seed point and constructing a cyclic graph around the seed point in a plane perpendicular to the centerline at the seed point, performing a multi-scale-mean shift filtering in the perpendicular plane to estimate image gradient values, detecting a vessel boundary using a minimum-mean-cycle optimization that minimizes a ratio of a cost of a cycle to a length of a cycle, constructing a sub-voxel accurate vessel boundary about a point on the centerline, and refining the location of the centerline point from the sub-voxel accurate boundary, where the steps of constructing a sub-voxel accurate vessel boundary and refining the centerline point location are repeated until convergence.

    Abstract translation: 冠状动脉血管分割和可视化的方法包括提供数字化冠状动脉图像,沿着冠状血管的估计中心线放置多个种子点,在垂直于中心线的平面中选择种子点和围绕种子点构建循环图 在种子点处,在垂直平面上执行多尺度均值偏移滤波以估计图像梯度值,使用最小平均周期优化来检测血管边界,所述最小平均周期优化使周期成本与长度的比率最小化 循环,围绕中心线上的点构建子体素准确的血管边界,并且从子体素精确边界改进中心线点的位置,其中构建子体素准确的血管边界并提炼中心线 点位置重复直到收敛。

    GPU-based Finite Element
    3.
    发明申请
    GPU-based Finite Element 审中-公开
    基于GPU的有限元

    公开(公告)号:US20050243087A1

    公开(公告)日:2005-11-03

    申请号:US11115642

    申请日:2005-04-27

    Applicant: Shmuel Aharon

    Inventor: Shmuel Aharon

    CPC classification number: G06T17/20

    Abstract: Exemplary methods and systems are provided for performing the Finite Element Method. An exemplary method includes the steps of transferring a set of nodes and elements (i.e., a mesh) from a memory to a graphics processing unit (GPU); and performing the Finite Element Method on the set of nodes and elements using only the GPU. An exemplary system includes a central processing unit (CPU); a memory operatively connected to the CPU; and a graphics processing unit (GPU) operatively connected to the CPU; wherein the CPU transfers a set of nodes and elements from the memory to the GPU; and wherein the GPU performs the Finite Element Method on the set of nodes and elements.

    Abstract translation: 提供了用于执行有限元方法的示例性方法和系统。 一种示例性方法包括将一组节点和元素(即,网格)从存储器传送到图形处理单元(GPU)的步骤; 并在仅使用GPU的节点和元素集上执行有限元方法。 示例性系统包括中央处理单元(CPU); 可操作地连接到CPU的存储器; 和可操作地连接到CPU的图形处理单元(GPU); 其中所述CPU将一组节点和元件从所述存储器传送到所述GPU; 并且其中GPU在该组节点和元素上执行有限元方法。

    Rendering anatomical structures with their nearby surrounding area
    4.
    发明申请
    Rendering anatomical structures with their nearby surrounding area 有权
    与附近的周边地区呈现解剖结构

    公开(公告)号:US20060253021A1

    公开(公告)日:2006-11-09

    申请号:US11414892

    申请日:2006-05-01

    Applicant: Shmuel Aharon

    Inventor: Shmuel Aharon

    CPC classification number: A61B5/055

    Abstract: System and methods of displaying anatomical structures and their surrounding area, are disclosed. For a viewing point the anatomical structures are rendered separate from their surrounding and saved. The surrounding area of the anatomical structure within a viewing frustum is extracted, interpolated and rendered. The rendered anatomical structures and calculated image of the surrounding are combined into a complete rendering of the anatomical structures with its nearby surrounding areas.

    Abstract translation: 公开了显示解剖结构及其周围区域的系统和方法。 对于观察点,解剖结构与其周围分离并保存。 观察平截头体内解剖结构的周围区域被提取,插值和渲染。 渲染的解剖结构和周围的计算图像被组合成与其附近的周围区域的解剖结构的完整呈现。

    GPU accelerated multi-label digital photo and video editing

    公开(公告)号:US20060104513A1

    公开(公告)日:2006-05-18

    申请号:US11242549

    申请日:2005-10-03

    Abstract: A method and system for segmenting an object in a digital image are disclosed. A user selects at least one foreground pixel or node located within the object and at least one background pixel or node located outside of the object. A random walk algorithm is performed to determine the boundaries of the object in the image. In a first step of the algorithm, a plurality of coefficients is determined. Next, a system of linear equations that include the plurality of coefficients are solved to determine a boundary of the object. The processing is performed by a graphics processing unit. The processing can be performed using the near-Euclidean LUV color space or a Lab color space. It is also preferred to use a Z-buffer in the graphics processing unit during processing. The object, once identified, can be further processed, for example, by being extracted from the image based on the determined boundary.

    Flat texture volume rendering
    6.
    发明授权
    Flat texture volume rendering 有权
    平坦的纹理体积渲染

    公开(公告)号:US08125480B2

    公开(公告)日:2012-02-28

    申请号:US11401066

    申请日:2006-04-10

    CPC classification number: G06T15/04 G06T15/08

    Abstract: A GPU accelerated volume rendering method from flat textures (also known as texture atlas) is disclosed. The method is not restricted to a specific rendering technique. The method is fast as it requires no reordering or copying passes. An image processing system is also provided. Addressing of two dimensional flat textures is accomplished based on the viewing direction. A first addressing scheme is used for the x direction, a second addressing scheme is used for the y direction and a third addressing scheme is used for the z direction, where x, y, and z refer to the axes of Cartesian coordinate system.

    Abstract translation: 公开了从平坦纹理(也称为纹理图集)的GPU加速体绘制方法。 该方法不限于特定的渲染技术。 该方法很快,因为它不需要重新排序或复制通过。 还提供了图像处理系统。 基于观察方向实现二维平坦纹理的寻址。 第一寻址方案用于x方向,第二寻址方案用于y方向,第三寻址方案用于z方向,其中x,y和z表示笛卡尔坐标系的轴。

    Manifold learning for discriminating pixels in multi-channel images, with application to image/volume/video segmentation and clustering
    7.
    发明授权
    Manifold learning for discriminating pixels in multi-channel images, with application to image/volume/video segmentation and clustering 有权
    用于识别多通道图像中的像素的歧管学习,应用于图像/音量/视频分割和聚类

    公开(公告)号:US07907777B2

    公开(公告)日:2011-03-15

    申请号:US11273187

    申请日:2005-11-14

    CPC classification number: G06K9/6252 G06K9/6232

    Abstract: A manifold learning technique is applied to the problem of discriminating an object boundary between neighboring pixels/voxels in an image. The manifold learning technique is referred to as locality preserving projections. The application is for multi-channel images, which may include registered images/volumes, a time series of images/volumes, images obtained using different pulse sequences or contrast factors, radar and color photographs.

    Abstract translation: 歧管学习技术被应用于鉴别图像中相邻像素/体素之间的对象边界的问题。 歧管学习技术被称为局部保留投影。 应用于多通道图像,其可以包括记录的图像/体积,图像/体积的时间序列,使用不同脉冲序列或对比度因子获得的图像,雷达和彩色照片。

    GPU accelerated isoperimetric algorithm for image segmentation, digital photo and video editing
    9.
    发明授权
    GPU accelerated isoperimetric algorithm for image segmentation, digital photo and video editing 有权
    GPU加速图像分割算法,数字照片和视频编辑

    公开(公告)号:US07519220B2

    公开(公告)日:2009-04-14

    申请号:US11273511

    申请日:2005-11-14

    Abstract: A system and method for segmenting an object in an image using an isoperimetric ratio in a graphics processing unit is disclosed. The object is identified by one or more selected pixels located within the object. The system includes a graphics processing unit and software loadable on the graphics processing unit. The software is operable to find weights for edges, to build a Laplacian matrix and a d vector, to eliminate the row and column corresponding to the one or more selected pixels to determine L0 and d0, to solve x0 in the equation L0x0=d0; and to threshold the potentials x at the value that selects the object having the lowest isoperimetric ratio.

    Abstract translation: 公开了一种用于在图形处理单元中使用等效比分割图像中的对象的系统和方法。 对象由位于对象内的一个或多个所选像素识别。 该系统包括图形处理单元和可加载在图形处理单元上的软件。 软件可操作以找到边缘的权重,以构建拉普拉斯矩阵和d向量,以消除与一个或多个所选像素相对应的行和列,以确定L0和d0,以求解方程式L0x0 = d0中的x0; 并且以选择具有最低等效比的对象的值来阈值电位x。

    DEFORMABLE 2D-3D REGISTRATION
    10.
    发明申请
    DEFORMABLE 2D-3D REGISTRATION 有权
    可变2D-3D注册

    公开(公告)号:US20090052757A1

    公开(公告)日:2009-02-26

    申请号:US12192278

    申请日:2008-08-15

    Abstract: A method for deformable registration including determining a vector field from a two-dimensional matching of a volume of an object of interest and a two-dimensional image of the object of interest, providing a deformation profile, and finding a volume deformation that maps to a state of the two-dimensional image, wherein the deformation is parameterized by the vector field and control points of the deformation profile to find a control point configuration of the volume deformation.

    Abstract translation: 一种用于可变形配准的方法,包括从感兴趣对象的体积和感兴趣对象的二维图像的二维匹配中确定矢量场,提供变形曲线,以及找到映射到 二维图像的状态,其中通过矢量场和变形曲线的控制点参数化变形,以找到体积变形的控制点配置。

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