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    • 8. 发明申请
    • GPU-based Finite Element
    • 基于GPU的有限元
    • US20050243087A1
    • 2005-11-03
    • US11115642
    • 2005-04-27
    • Shmuel Aharon
    • Shmuel Aharon
    • G06F17/50G06T17/00G06T17/20
    • G06T17/20
    • 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.
    • 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。
    • 9. 发明授权
    • System and method for coronary segmentation and visualization
    • 冠状动脉分割和可视化的系统和方法
    • US07990379B2
    • 2011-08-02
    • US11870546
    • 2007-10-11
    • Shmuel AharonMehmet Akif GulsunHuseyin Tek
    • Shmuel AharonMehmet Akif GulsunHuseyin Tek
    • G06T17/00
    • G06T17/20G06T7/12G06T7/162G06T7/60G06T2207/10072G06T2207/20044G06T2207/30101
    • 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.
    • 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。