1st International ICST Workshop on New Computational Methods for Inverse Problems

Research Article

Circular Harmonic Decomposition Approach for Numerical Inversion of Circular Radon Transforms

  • @INPROCEEDINGS{10.4108/icst.valuetools.2011.245815,
        author={Ga\`{\i}l  Rigaud  and Ma\~{n} K.  Nguyen  and Alfred K.  Louis },
        title={Circular Harmonic Decomposition Approach for Numerical Inversion of Circular Radon Transforms},
        proceedings={1st International ICST Workshop on New Computational Methods for Inverse Problems},
        publisher={ACM},
        proceedings_a={NCMIP},
        year={2012},
        month={6},
        keywords={Radon transforms (RT) Circular Radon transform (CRT) Circular-arc Radon transform (CART) image reconstruction Circular Harmonic Decomposition (CHD) Compton scattering tomography (CST)},
        doi={10.4108/icst.valuetools.2011.245815}
    }
    
  • Gaël Rigaud
    Maï K. Nguyen
    Alfred K. Louis
    Year: 2012
    Circular Harmonic Decomposition Approach for Numerical Inversion of Circular Radon Transforms
    NCMIP
    ICST
    DOI: 10.4108/icst.valuetools.2011.245815
Gaël Rigaud 1,*, Maï K. Nguyen 1, Alfred K. Louis 2
  • 1: ETIS-ENSEA/Univ. Cergy-Pontoise/CNRS 95000 Cergy-Pontoise, France
  • 2: Fachbereich Mathematik Universität des Saarlandes D-66041 Saarbrücken, Germany
*Contact email: gael.rigaud@ensea.fr

Abstract

Numerical inversions via circular harmonic decomposition for two classes of circular Radon transforms are established. The rst class deals with the Radon transform (RT) de- ned on circular arcs having a chord of xed length rotating around its middle point (CART) and the second is the RT de ned on a set of circles passing through a xed point of the plane (CRT). These circular Radon transforms arise from the modeling of di erent modalities in Compton scattering tomography (CST). Inversions via circular harmonic decomposition are used for image reconstructions in CST. Simulation results show the eciency and interest of this inversion method in imaging science.