IEEE Trans Image Process - Efficient volume reconstruction for parallel-beam computed laminography by filtered backprojection on multi-core clusters.

Tópicos

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Resumo

Computed laminography (CL) was developed to use X rays from synchrotron sources for high-resolution imaging of the internal structure of a flat specimen from a series of twodimensional (2D) projection images. The projections are acquired by irradiation of the sample under different rotation angles where the object rotation axis is inclined with respect to the beam direction. This yields for laterally extended objects a more uniform average transmitted intensity during sample rotation compared to computed tomography (CT). The reconstruction problem of CL cannot be reduced to a data-efficient 2D case (as for parallel-beam CT) since each single slice perpendicular to the rotation axis requires a 2D region on the detector as input data for all projection directions. This paper describes a computationally efficient reconstruction procedure based on filtered backprojection (FBP) adapted to the CL acquisition geometry. From the Fourier slice theorem we derive a framework for analytic image reconstruction and outline implementation details of the generic FBP algorithm. Different approaches reducing the reconstruction time by means of parallel and distributed computations are considered and evaluated.

Resumo Limpo

comput laminographi cl develop use x ray synchrotron sourc highresolut imag intern structur flat specimen seri twodimension d project imag project acquir irradi sampl differ rotat angl object rotat axi inclin respect beam direct yield later extend object uniform averag transmit intens sampl rotat compar comput tomographi ct reconstruct problem cl reduc dataeffici d case parallelbeam ct sinc singl slice perpendicular rotat axi requir d region detector input data project direct paper describ comput effici reconstruct procedur base filter backproject fbp adapt cl acquisit geometri fourier slice theorem deriv framework analyt imag reconstruct outlin implement detail generic fbp algorithm differ approach reduc reconstruct time mean parallel distribut comput consid evalu

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