Fernando V. Salina

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We present in this work a new method for the tomographic reconstruction with Poisson noise corrupted projections. The reconstruction method is a hybrid estimation theoretic-POCS (Projection Onto Convex Sets) method performed by first estimating the noisy projections using Anscombe Transformation, Discrete Wavelet Transform and pointwise Wiener filter and(More)
We present in this work a comparison among four algorithms for transmission tomography. The algorithms are based on the formalism of POCS (Projection onto Convex Sets): ART (Algebraic Reconstruction Technique), SIRT (Simultaneous Iterative Reconstruction Technique), sequential POCS and parallel POCS. We found that the use of adequate a priori knowledge(More)
In this paper, we present a comparison of two techniques for noise reduction on CT set of projections. We use for filtering the Pointwise Wiener filter and thresholding of the Wavelet coefficients. We use the Anscombe transformation for noise variance stabilization. The Pointwise Wiener filter was computed with an adaptive windowing scheme for the(More)
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