3D image reconstruction for helical partial cone beam data

X-ray or gamma ray systems or devices – Specific application – Computerized tomography

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378 15, 378901, A61B 603

Patent

active

060977841

ABSTRACT:
A method of image reconstruction from partial cone beam data includes collecting the partial cone beam data in two-dimensional arrays. The collected data corresponds to rays of radiation diverging in two dimensions from a common vertex as the vertex travels along a curve. Each element of the data represents a line integral of an object being reconstructed taken along each ray. The data is then pre-weighted and a local coordinate system is defined. A one-dimensional convolution of the pre-weighted data is computed in the local coordinate system along a direction which is tangential to the curve along which the vertex travels. Finally, the convolved data is weighted and three-dimensionally backprojected. In a preferred embodiment, the curve defines a helical path, and the kernel for the one-dimensional convolution of the pre-weighted data is a ramp convolver.

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Defrise, et al., "A Cone-Beam Reconstruction Algorithm Using Shift-Variant Filtering and Cone-Beam Backprojection," IEEE Transactions on Medical Imaging, (Mar. 1994) vol. 13, No. 1, pp. 186-195.

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