• DocumentCode
    333414
  • Title

    Improving EIT image quality by using multiple meshes combination

  • Author

    MengXing, Tang ; Xiuzhen, Dong ; Fusheng, You ; Xuetao, Shi ; MingXin, Qing ; Feng, Fu

  • Author_Institution
    Dept. of Biomed. Eng., Fourth Mil. Med. Univ., Shaanxi, China
  • Volume
    2
  • fYear
    1998
  • fDate
    29 Oct-1 Nov 1998
  • Firstpage
    1055
  • Abstract
    To improve dynamic EIT image quality, multiple meshes combination, a new method, was applied. The method was mainly based on sampling theory. First, a group of reconstruction models were made with different mesh schemes. Then EIT images were reconstructed with each model. Finally all the images were combined altogether to form the final image. This method was used to reconstruct images under computer simulative conditions and in physical phantoms. Two reconstruction algorithms were used: filtered spectral expansion algorithm (FSE) and general inversion algorithm (GIA) which was proposed by us. Results indicated that the method had a much smaller reconstruction error than the single mesh method. Besides, the ill-posed condition was not worsened in that the element number of each mesh didn´t increase
  • Keywords
    Laplace equations; electric impedance imaging; image reconstruction; inverse problems; medical image processing; mesh generation; Laplace equation; electric impedance tomography; filtered spectral expansion algorithm; general inversion algorithm; ill-posed condition; image quality improvement; image reconstruction; multiple meshes combination; physical phantom; reconstruction models; sampling theory; Computational modeling; Computer errors; Computer simulation; Image quality; Image reconstruction; Image sampling; Imaging phantoms; Physics computing; Reconstruction algorithms; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
  • Conference_Location
    Hong Kong
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5164-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.1998.745633
  • Filename
    745633