• DocumentCode
    709385
  • Title

    Data redundancy in diffraction tomography

  • Author

    Paladhi, P. Roy ; Sinha, A.K. ; Tayebi, A. ; Udpa, L. ; Tamburrino, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2015
  • fDate
    22-26 March 2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Filtered backpropagation (FBPP) is a well-established technique used in Diffraction Tomography (DT). This paper presents a modified algorithm for reducing the traditional requirement of 360° angular coverage. The algorithm uses the redundancy in projection data optimally to create distortionless reconstruction for coverage up to 200°.
  • Keywords
    backpropagation; diffraction; filtering theory; image reconstruction; tomography; DT; [|νm| image reconstruction; data redundancy; diffraction tomography; distortionless reconstruction; filtered backpropagation; projection data; Backpropagation; Backpropagation algorithms; Diffraction; Image reconstruction; Redundancy; Standards; Tomography; Diffraction tomography; filtered backpropagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Electromagnetics (ACES), 2015 31st International Review of Progress in
  • Conference_Location
    Williamsburg, VA
  • Type

    conf

  • Filename
    7109715
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=709385