Parallel processing system for Big Data in preclinical computed tomography

Abstract

This paper reports the main ideas in a recent project proposal done in the scope of medical imaging systems. We target the THCORBA micro-pattern gaseous detector that has been demonstrated to be a robust device providing multislice acquisition and 3D reconstruction. Given the current acquired signal processing times, image reconstruction and postprocessing tasks have to be improved. The paper summarizes some of the ideas of such an improvement, proposing to delegate certain post-processing tasks to programmable logic devices with the intention to parallelize the required filtering and calculations that would allow to increase the throughput.