Abstract
In geology field, the experimental or computational simulation of the sediment deposition process is widely used to characterize regions and possible findings. Noninvasive methods are the best way to evaluate sediments; in order of not to destroy the information of the sediment deposition structure. The use of computed tomography (CT) techniques to get images of sediments will be evaluated. A CT will be analyzed has a two stage process, the scan of body test to produce a set of X-ray images and the reconstruction step where the set of X-ray images is processed by computational algorithm to generate cross-sectional images of the scanned object. To test the method the X-ray images are generated using the Monte Carlo method with a XRMC tool, and the simulated images are 3D reconstructed using the Feldkamp, David e Kress algorithm. The reconstruction planes and the volume generated in the simulation showed very similar after a visual comparison for all of tested volumes. However a statistical analysis showed that there was no statistical coincidence of the simulated dimensions and reconstruction. The results presented showed the possibility to use CT to study the sediments in tanks or rivers.
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DomÃnguez, J.S., Hoff, G., de Assis, J.T. (2018). Using the FDK Algorithm to Reconstruct Low Contrast Images Generated by Monte Carlo, Simulation of Sediment Imaging. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2017. ECCOMAS 2017. Lecture Notes in Computational Vision and Biomechanics, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-68195-5_34
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DOI: https://doi.org/10.1007/978-3-319-68195-5_34
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