Abstract:Abstract.A Compton camera has been suggested for use in single photon emission computed tomography because a conventional gamma camera has low efficiency. Here we consider a cone transform brought about by a Compton camera with line detectors. A cone transform takes a given function on the 3-dimensional space and assigns to it the surface integral of the function over cones determined by the 1-dimensional vertex space, the 1-dimensional central axis, and the 1-dimensional opening angle. We generalize this cone… Show more
“…Variants of the conical Radon transform in R 2 are known as V-line or broken-ray transforms. These transforms appear in emission tomography with one-dimensional Compton cameras [5,22], or in the recently developed single scattering optical tomography [16]. In this paper, we consider the conical Radon transform in general dimension and further include a radial weight, that can be adjusted to a particular application at hand.…”
Section: Inversion Of the Conical Radon Transformmentioning
Recovering a function from its integrals over circular cones recently gained significance because of its relevance to novel medical imaging technologies such emission tomography using Compton cameras. In this paper we investigate the case where the vertices of the cones of integration are restricted to a sphere in n-dimensional space and symmetry axes are orthogonal to the sphere. We show invertibility of the considered transform and develop an inversion method based on series expansion and reduction to a system of one-dimensional integral equations of generalized Abel type. Because the arising kernels do not satisfy standard assumptions, we also develop a uniqueness result for generalized Abel equations where the kernel has zeros on the diagonal. Finally, we demonstrate how to numerically implement our inversion method and present numerical results.
“…Variants of the conical Radon transform in R 2 are known as V-line or broken-ray transforms. These transforms appear in emission tomography with one-dimensional Compton cameras [5,22], or in the recently developed single scattering optical tomography [16]. In this paper, we consider the conical Radon transform in general dimension and further include a radial weight, that can be adjusted to a particular application at hand.…”
Section: Inversion Of the Conical Radon Transformmentioning
Recovering a function from its integrals over circular cones recently gained significance because of its relevance to novel medical imaging technologies such emission tomography using Compton cameras. In this paper we investigate the case where the vertices of the cones of integration are restricted to a sphere in n-dimensional space and symmetry axes are orthogonal to the sphere. We show invertibility of the considered transform and develop an inversion method based on series expansion and reduction to a system of one-dimensional integral equations of generalized Abel type. Because the arising kernels do not satisfy standard assumptions, we also develop a uniqueness result for generalized Abel equations where the kernel has zeros on the diagonal. Finally, we demonstrate how to numerically implement our inversion method and present numerical results.
“…Corollary 3 One can invert the conical Radon transform T by using formula (24) to generate F from T f and then applying Theorem 3 or Theorem 4.…”
Section: Definitionmentioning
confidence: 99%
“…Many researchers have obtained interesting results on the CRT and the VLT for such setups (e.g. see [15,16,18,23,24,27,28,33,34,35,36,37,41,43,45,46,47]). A nice survey of this field was recently published in [44].…”
The paper studies various properties of the V-line transform (VLT) in the plane and the conical Radon transform (CRT) in R n . The VLT maps a function to a family of its integrals along trajectories made of two rays emanating from a common point. The CRT considered in this paper maps a function to a set of its integrals over surfaces of polyhedral cones. These types of operators appear in mathematical models of single scattering optical tomography, Compton camera imaging and other applications. We derive new explicit inversion formulae for the VLT and the CRT, as well as proving some previously known results using more intuitive geometric ideas. Using our inversion formula for the VLT, we describe the range of that transformation when applied to a fairly broad class of functions and prove some support theorems. The efficiency of our method is demonstrated on several numerical examples. As an auxiliary result that plays a big role in this article, we derive a generalization of the Fundamental Theorem of Calculus, which we call the Cone Differentiation Theorem.
“…During the last decade, the interest towards such transforms was triggered by the connection between the conical Radon transform and the mathematical models of many novel imaging modalities. [1][2][3][4][5][6][7][8][9][10][11][12][13][14] In all the above works, the attenuation phenomena was neglected. However, in many medical imaging techniques, ignoring the effect of the attenuation of photon can significantly degrade the quality of the reconstruction image.…”
Since Compton cameras were introduced in the use of single photon emission computed tomography, various types of conical Radon transforms, which integrate the emission distribution over circular cones, have been studied. Most of previous works did not address the attenuation factor, which may lead to significant degradation of image quality. In this paper, we consider the problem of recovering an unknown function from conical projections affected by a known constant attenuation coefficient called an attenuated conical Radon transform.In the case of a fixed opening angle and vertical central axis, new explicit inversion formula is derived. Two-dimensional numerical simulations were performed to demonstrate the efficiency of the suggested algorithm.
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