On Artifacts in Limited Data Spherical Radon Transform: Curved Observation Surface

Abstract

In this article, we consider the limited data problem for spherical mean transform. We characterize the generation and strength of the artifacts in a reconstruction formula. In contrast to the third's author work [Ngu15b], the observation surface considered in this article is not flat. Our results are comparable to those obtained in [Ngu15b] for flat observation surface. For the two dimensional problem, we show that the artifacts are $k$ orders smoother than the original singularities, where $k$ is vanishing order of the smoothing function. Moreover, if the original singularity is conormal, then the artifacts are $k+\frac{1}{2}$ order smoother than the original singularity. We provide some numerical examples and discuss how the smoothing effects the artifacts visually. For three dimensional case, although the result is similar to that [Ngu15b], the proof is significantly different. We introduce a new idea of lifting the space.

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• On Artifacts in Limited Data Spherical Radon Transform: Curved Observation Surface
• Time reversal in photoacoustic tomography and levitation in a cavity
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Cited by in corpus (8)

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• Efficient regularization with wavelet sparsity constraints in PAT
• The spherical mean Radon transform with centers on cylindrical surfaces