IEEE Trans Image Process - DART: a practical reconstruction algorithm for discrete tomography.

Tópicos

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Resumo

In this paper, we present an iterative reconstruction algorithm for discrete tomography, called discrete algebraic reconstruction technique (DART). DART can be applied if the scanned object is known to consist of only a few different compositions, each corresponding to a constant gray value in the reconstruction. Prior knowledge of the gray values for each of the compositions is exploited to steer the current reconstruction towards a reconstruction that contains only these gray values. Based on experiments with both simulated CT data and experimental ?CT data, it is shown that DART is capable of computing more accurate reconstructions from a small number of projection images, or from a small angular range, than alternative methods. It is also shown that DART can deal effectively with noisy projection data and that the algorithm is robust with respect to errors in the estimation of the gray values.

Resumo Limpo

paper present iter reconstruct algorithm discret tomographi call discret algebra reconstruct techniqu dart dart can appli scan object known consist differ composit correspond constant gray valu reconstruct prior knowledg gray valu composit exploit steer current reconstruct toward reconstruct contain gray valu base experi simul ct data experiment ct data shown dart capabl comput accur reconstruct small number project imag small angular rang altern method also shown dart can deal effect noisi project data algorithm robust respect error estim gray valu

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