Parallel processing method and apparatus based on the...

G - Physics – 06 – T

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G06T 11/00 (2006.01)

Patent

CA 2042225

RD-19948 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 Abstract of the Disclosure 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.i on the source scanning trajectory, a 2D measured cone beam pixel data set ?i. The 3D voxel data set V is subdivided into or organized as a plurality m of independent voxel subcubes V0 through vm-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 ?i (measured projection data array) is correspondingly subdi- vided for each source position .theta.i into projection data sub- sets, with overlapping regions between one or more adjacent projection data subsets corresponding to adjacent voxel sub- cubes. 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 paral- lel-processor architecture is employed for iterative repro- ject and merge, and split and backproject operations.

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