| dc.description | The greatest impact of the tomography technology currently occurs in medicine. The success is due to the
human body presents standardized dimensions with well-established composition. These conditions are not
found in industrial objects. In industry, there is much interest in using the tomography in order to know the inner
of (i) the manufactured industrial objects or (ii) the machines and their means of production. In these cases, the
purpose of the tomography is to (a) control the quality of the final product and (b) to optimize production,
contributing to the pilot phase of the projects and analyzing the quality of the means of production. This scan
system is a non-destructive, efficient and fast method for providing sectional images of industrial objects and is
able to show the dynamic processes and the dispersion of the materials structures within these objects. In this
context, it is important that the reconstructed image presents a great spatial resolution with a satisfactory
temporal resolution. Thus the algorithm to reconstruct the images has to meet these requirements. This work
consists in the analysis of three different iterative algorithm methods, such Maximum Likelihood Estimation
Method (MLEM), Maximum Likelihood Transmitted Method (MLTR) and Simultaneous Iterative
Reconstruction Method (SIRT. The analysis consists on measurement of the contrast to noise ratio (CNR), the
root mean square error (RMSE) and the Modulation Transfer Function (MTF), to know which algorithm fits
better the conditions in order to optimize system. The algorithms and the image quality analysis were performed
by the Matlab?? 2013b. | |
