IEEE Trans Image Process - A multiresolution approach to iterative reconstruction algorithms in X-ray computed tomography.

Tópicos

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Resumo

In computed tomography, the application of iterative reconstruction methods in practical situations is impeded by their high computational demands. Especially in high resolution X-ray computed tomography, where reconstruction volumes contain a high number of volume elements (several giga voxels), this computational burden prevents their actual breakthrough. Besides the large amount of calculations, iterative algorithms require the entire volume to be kept in memory during reconstruction, which quickly becomes cumbersome for large data sets. To overcome this obstacle, we present a novel multiresolution reconstruction, which greatly reduces the required amount of memory without significantly affecting the reconstructed image quality. It is shown that, combined with an efficient implementation on a graphical processing unit, the multiresolution approach enables the application of iterative algorithms in the reconstruction of large volumes at an acceptable speed using only limited resources.

Resumo Limpo

comput tomographi applic iter reconstruct method practic situat imped high comput demand especi high resolut xray comput tomographi reconstruct volum contain high number volum element sever giga voxel comput burden prevent actual breakthrough besid larg amount calcul iter algorithm requir entir volum kept memori reconstruct quick becom cumbersom larg data set overcom obstacl present novel multiresolut reconstruct great reduc requir amount memori without signific affect reconstruct imag qualiti shown combin effici implement graphic process unit multiresolut approach enabl applic iter algorithm reconstruct larg volum accept speed use limit resourc

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