2015
DOI: 10.1088/0266-5611/31/10/105010
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Approximate inverse and Sobolev estimates for the attenuated Radon transform

Abstract: The ill-posedness of the attenuated Radon transform is a challenging issue in practice due to the Poisson noise and the high level of attenuation. The investigation of the smoothing properties of the underlying operator is essential for developing a stable inversion. In this paper, we consider the framework of Sobolev spaces and derive analytically a reconstruction algorithm based on the method of the approximate inverse. The derived method inherits the efficiency and stability of the approximate inverse and s… Show more

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Cited by 16 publications
(9 citation statements)
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“…Remark 3.6. Theorem 3.5 generalizes the conclusion of Theorem 4.2 in the study of Rigaud and Lakhal 16 to the n-dimensional space.…”
Section: )supporting
confidence: 66%
See 2 more Smart Citations
“…Remark 3.6. Theorem 3.5 generalizes the conclusion of Theorem 4.2 in the study of Rigaud and Lakhal 16 to the n-dimensional space.…”
Section: )supporting
confidence: 66%
“…Remark Theorem generalizes the conclusion of Theorem 4.1 in the study of Rigaud and Lakhal to the dual operator of n ‐dimensional weighted Radon transform.…”
Section: The Main Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…They produce smooth artifacts, noted Ef in the reconstruction scheme, quite strong. By analogy with the attenuated Radon transform [32], the ill-conditioning of the reconstruction problem should increase exponentially with the intensity of the electron density which is observed in practice. The values of the electron density considered here as well as the variation of the physical factors are thus substantially amplified by the reconstruction strategy.…”
Section: Contour Reconstructionmentioning
confidence: 99%
“…Recall that the Radon transform (see e.g., [20]) is an integral transform taking a function f defined on the plane to a function Rf defined on the (two-dimensional) space of lines in the plane, whose value at a particular line is equal to the line integral of the function over that line. Below we need a higher dimensional variant (see Lemma 5.1) of this idea, and we shall refer to it also as a Radon transform.…”
Section: A Radon Transformmentioning
confidence: 99%