KEYWORDS: Reconstruction algorithms, Signal attenuation, Positron emission tomography, Monte Carlo methods, Optical spheres, 3D image reconstruction, 3D modeling, 3D image processing, Tomography, Image restoration
The main goal of this work is the performance evaluation of a tomographic reconstruction algorithm that estimates activity and attenuation images of the object of interest based only upon projections obtained from a regular Nuclear Medicine exam, without need of additional measurements. This evaluation was carried out for three-dimensional positron emission tomography, and for that purpose we used a number of numerical phantoms with random features; computer simulations that model realistically the physical processes inherent to Nuclear Medicine data acquisitions, through Monte Carlo techniques; and a comparison of the images yielded by the simultaneous reconstruction method with those provided by some of the most common tomographic reconstruction algorithms. This comparison was performed with use of figures of merit related to clinical applications, and of statistical significance tests over a large number of reconstructed objects. It was observed that this new method appears as an interesting alternative to the reconstruction methods currently in use, with promising improvement possibilities, even though fully satisfactory results are yet to be obtained.
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