IEEE Trans Image Process - Automatic parameter estimation for the discrete algebraic reconstruction technique (DART).

Tópicos

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Resumo

Computed tomography (CT) is a technique for noninvasive imaging of physical objects. In the discrete algebraic reconstruction technique (DART), prior knowledge about the material's densities is exploited to obtain high quality reconstructed images from a limited number of its projections. In practice, this prior knowledge is typically not readily available. Here, a fully automatic method, called projection distance minimization DART (PDM-DART), is proposed in which the optimal grey level parameters are adaptively estimated during the reconstruction process. To apply PDM-DART, only the number of different grey levels should be known in advance. Simulation as well as real ?CT experiments show that PDM-DART is capable of computing reconstructed images of which the quality is similar to reconstructions computed by conventional DART based on exact prior knowledge, thereby eliminating the need for tedious and error-prone user interaction.

Resumo Limpo

comput tomographi ct techniqu noninvas imag physic object discret algebra reconstruct techniqu dart prior knowledg materi densiti exploit obtain high qualiti reconstruct imag limit number project practic prior knowledg typic readili avail fulli automat method call project distanc minim dart pdmdart propos optim grey level paramet adapt estim reconstruct process appli pdmdart number differ grey level known advanc simul well real ct experi show pdmdart capabl comput reconstruct imag qualiti similar reconstruct comput convent dart base exact prior knowledg therebi elimin need tedious errorpron user interact

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