• DocumentCode
    2845046
  • Title

    Tiny a priori knowledge solves the interior problem

  • Author

    Kudo, Hiroyuki ; Courdurier, Matias ; Noo, Frédéric ; Defrise, Michel

  • Volume
    6
  • fYear
    2007
  • fDate
    Oct. 26 2007-Nov. 3 2007
  • Firstpage
    4068
  • Lastpage
    4075
  • Abstract
    Based on the differentiated backprojection (DBP) framework [1-3], this paper shows that the solution to the interior problem in computed tomography is unique if a tiny a priori knowledge on the object f(x,y) is available in the form that f(x,y) is known on a small region located inside the region of interest. Furthermore, we advance the uniqueness result to obtain a more general uniqueness result which can be applied to a wider class of imaging configurations. The experimental results show evidence that the inversion corresponding to each obtained uniqueness result is stable.
  • Keywords
    Hilbert transforms; computerised tomography; image reconstruction; medical image processing; set theory; Hilbert transform; computed tomography; differentiated backprojection framework; interior problems; projection onto convex sets algorithm; region-of-interest reconstruction; tiny a priori knowledge; truncation; Computational efficiency; Computed tomography; Geometry; Image reconstruction; Nuclear and plasma sciences; Reconstruction algorithms; Time measurement; Differentiated backprojection; Hilbert transform; Image reconstruction; Interior problem; POCS; Truncation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-0922-8
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2007.4437021
  • Filename
    4437021