• DocumentCode
    1562593
  • Title

    The extended MENT algorithm: a promising reconstruction algorithm for computerized tomography

  • Author

    Dusaussoy, Nicolas J. ; Abdou, Ikram E.

  • Author_Institution
    Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
  • fYear
    1989
  • Firstpage
    1460
  • Abstract
    The maximum entropy algorithm MENT is extended to image reconstruction problems frequently encountered in industrial computerized tomography. Unlike MENT, the extended MENT algorithm can process prior information and deal with incomplete projections or limited angle data. The image processing performance of the extended MENT algorithm is better than that of other maximum entropy algorithms such as MART or more standard methods such as ART and convolution backprojection. It is shown that the extended MENT algorithm outperforms these algorithms when few projections are collected, when limited angle data are available, or when data are missing in the projections
  • Keywords
    computerised picture processing; computerised tomography; computerized tomography; extended MENT algorithm; image processing performance; image reconstruction; incomplete projections; limited angle data; maximum entropy algorithm MENT; reconstruction algorithm; Computed tomography; Computer industry; Convolution; Entropy; Image processing; Image quality; Image reconstruction; Reconstruction algorithms; Strips; Subspace constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
  • Conference_Location
    Glasgow
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1989.266715
  • Filename
    266715