Surface of revolution Radon transforms with centers on generalized surfaces in R<sup>n</sup>

We present a novel analysis of a Radon transform, <i>R</i>, which maps an <i>L<sup>2 </sup></i>function of compact support to its integrals over smooth surfaces of revolution with centers on an embedded hypersurface in <i>R<sup>n</sup></i>. Using microlocal analysis, we derive necessary and sufficient conditions relating to <i>R</i> for the Bolker condition to hold, which has implications regarding the existence and location of image artifacts. We present a general inversion framework based on Volterra equation theory and known results on the spherical Radon transform, and we prove injectivity results for <i>R</i>. Several example applications of our theory are discussed in the context of, e.g., Compton Scatter Tomography (CST) and Ultrasound Reflection Tomography (URT). In addition, using the proposed inversion framework, we validate our microlocal theory via simulation, and present simulated image reconstructions of image phantoms with added noise.

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Publication Details

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Research Explorer (The University of Manchester)
Published
2024-12-18
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Surface of revolution Radon transforms with centers on generalized surfaces in Rn

Research Explorer (The University of Manchester)
Medical Imaging Techniques and Applications
article

Surface of revolution Radon transforms with centers on generalized surfaces in Rn

article en

Abstract

We present a novel analysis of a Radon transform, <i>R</i>, which maps an <i>L<sup>2 </sup></i>function of compact support to its integrals over smooth surfaces of revolution with centers on an embedded hypersurface in <i>R<sup>n</sup></i>. Using microlocal analysis, we derive necessary and sufficient conditions relating to <i>R</i> for the Bolker condition to hold, which has implications regarding the existence and location of image artifacts. We present a general inversion framework based on Volterra equation theory and known results on the spherical Radon transform, and we prove injectivity results for <i>R</i>. Several example applications of our theory are discussed in the context of, e.g., Compton Scatter Tomography (CST) and Ultrasound Reflection Tomography (URT). In addition, using the proposed inversion framework, we validate our microlocal theory via simulation, and present simulated image reconstructions of image phantoms with added noise.

Research Explorer (The University of Manchester)
Applied Mathematics (United States) (US)
Ovarian Cancer Research Fund, V Foundation for Cancer Research, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 43%
Medical Imaging Techniques and Applications
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