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    • 3. 发明授权
    • Parallel processing method and apparatus based on the algebra
reconstruction technique for reconstructing a three-dimensional
computerized tomography (CT) image from cone beam projection data
    • 基于代数重建技术的并行处理方法和装置,用于从锥形束投影数据重建三维计算机断层摄影(CT)图像
    • US5253171A
    • 1993-10-12
    • US586163
    • 1990-09-21
    • Meng-Ling HsiaoWayne J. EberhardYves L. Trousset
    • Meng-Ling HsiaoWayne J. EberhardYves L. Trousset
    • A61B6/03G06T1/00G06T11/00G06T15/08G06F15/00A61B6/00
    • G06T11/006A61B6/027G06T2211/424
    • A parallel processing architecture and method, based on the 3D Algebra Reconstruction Technique (ART), for iteratively reconstructing from cone beam projection data a 3D voxel data set V representing an image of an object. The cone beam projection data is acquired by employing a cone beam x-ray source and a two-dimensional array detector to scan the object along a source scanning trajectory to obtain, at each of a plurality of discrete source positions .theta..sub.i on the source scanning trajectory, a 2D measured cone beam pixel data set P.sub.i. The 3D voxel data set V is subdivided into or organized as a plurality m of independent voxel subcubes V.sup.0 through V.sup.m-1 each containing a plurality of voxels. As a result of the subdivision of the 3D voxel data set V into voxel subcubes, the 2D measured cone beam pixel data set P.sub.i (measured projection data array) is correspondingly subdivided for each source position .theta..sub.i into projection data subsets, with overlapping regions between one or more adjacent projection data subsets corresponding to adjacent voxel subcubes. Each voxel subcube and its corresponding projection data strip or subset is processed in parallel with other pairs of voxel subcubes and corresponding projection data strips or subsets, without interference. A bi-level parallel-processor architecture is employed for iterative reproject and merge, and split and backproject operations.
    • 一种基于3D代数重建技术(ART)的并行处理架构和方法,用于从锥形束投影数据重复地重建表示对象的图像的3D体素数据集V. 通过使用锥形束x射线源和二维阵列检测器沿着源扫描轨迹扫描物体来获取锥形束投影数据,以在源扫描上的多个离散源位置θi中的每一个处得到 轨迹,2D测量锥形束像素数据集Pi。 3D体元数据集V被细分为多个m个独立的体素子管V0至Vm-1,每个独立体素子管V0至Vm-1分别包含多个体素。 作为将3D体素数据集V细分为体素子管的结果,将2D测量的锥形束像素数据集Pi(测量的投影数据阵列)对应于每个源位置θi分为投影数据子集,其间的重叠区域 一个或多个相邻的投影数据子集对应于相邻的体素子束。 每个体素子分支及其相应的投影数据条或子集与其他对体素体子束和相应的投影数据条或子集并行处理,无干扰。 双级并行处理器架构用于迭代重新投影和合并,以及拆分和后处理操作。