Acelerando o algoritmo FDK para reconstrução de imagens tomográficas em processadores multi-core com tecnologia hyper-threading (Speeding up the FDK algorithm for tomographic image reconstruction in multi-core processors with hyper-threading technology)

Joel Sánchez Domínguez (, Joaquim Teixeira de Assis (, Jose Renato de Castro Pessôa (

Universidade do Estado do Rio de Janeiro
This paper appears in: Revista IEEE América Latina

Publication Date: Jan. 2015
Volume: 13,   Issue: 1 
ISSN: 1548-0992

At present work we propose the use of multi-core processors to parallelize and speed up the Feldkamp, David e Kress (FDK) algorithm for tomography image reconstruction. Are commented the bases of computed tomography and the image reconstruction process. Proposes a computational implementation of the algorithm and its parallelization. The serial and parallel versions of the algorithm are compared; and measured the speedup achieved by the parallel version to be tested with different amounts of cores. The parallel version got a speedup of 10.62 to be executed in a computer with two processors INTEL with 6 physical cores each one. When using multi-core processors from INTEL beyond the physical cores we have logical cores that can be used by the operating system, when analyzing the speed gains achieved by the use of logical cores we note that the gain is around 0.15 per logic core while the speedup achieved by physical cores is around 0.7 per core.

Index Terms:
Computed Tomography, FDK algorithm, Multicore Processors, Parallel Processing, Image Reconstruction   

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