On artifacts in limited data spherical Radon transform: curved observation surface

Lyudmyla L. Barannyk, Jürgen Frikel, Linh V. Nguyen

Research output: Contribution to journalJournal articleResearchpeer-review


We study the limited data problem of the spherical Radon transform in two and three-dimensional spaces with general acquisition surfaces. In such situations, it is known that the application of filtered-backprojection reconstruction formulas might generate added artifacts and degrade the quality of reconstructions. In this article, we explicitly analyze a family of such inversion formulas, depending on a smoothing function that vanishes to order k on the boundary of the acquisition surfaces. We show that the artifacts are k orders smoother than their generating singularity. Moreover, in two-dimensional space, if the generating singularity is conormal satisfying a generic condition then the artifacts are even orders smoother than the generating singularity. Our analysis for three-dimensional space contains an important idea of lifting up space. We also explore the theoretical findings in a series of numerical experiments. Our experiments show that a good choice of the smoothing function leads to a significant improvement of reconstruction quality.
Original languageEnglish
Article number015012
JournalInverse Problems
Issue number1
Number of pages32
Publication statusPublished - 2015


  • Spherical Radon transform
  • Limited data problem
  • Microlocal analysis
  • Tomography
  • Singularities
  • Artifacts
  • Pseudodifferential and Fourier integral operators


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