• DocumentCode
    1554641
  • Title

    Tensor tomography

  • Author

    Gullberg, Grant T. ; Roy, Dilip Ghosh ; Zeng, Gengsheng L. ; Alexander, Andrew L. ; Parker, Dennis L.

  • Author_Institution
    Dept. of Radiol., Utah Univ., Salt Lake City, UT, USA
  • Volume
    46
  • Issue
    4
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    991
  • Lastpage
    1000
  • Abstract
    Tensors of diffusion, deformation (stress and strain), and conductivity are physical quantities of biological tissue, which can be used to characterize particular disease states. Tensor tomography may be a useful imaging technique for eliciting these tensor quantities when applied in conjunction with an imaging modality such as magnetic resonance imaging (MRI). This paper presents a method for reconstructing a 2×2 second-order tensor field from scalar projection measurements of the tensor field. The reconstruction of the four components of a 2×2 tensor may require as many as four distinct scalar measurements for each projection ray through the tensor field. Fourier projection theorems have been developed for the reconstruction of a tensor field which is decomposed into solenoidal and irrotational components. Results of a computer simulation that demonstrate the validity of the mathematical formulations are presented. A method is also proposed to obtain a diffusion tensor field tomographically from MRI projection measurements of the diffusion tensor field. The method is evaluated experimentally and results of an MRI phantom study are presented
  • Keywords
    biodiffusion; biomechanics; biomedical MRI; electrical conductivity measurement; image reconstruction; medical image processing; tensors; Fourier projection theorems; MRI phantom study; conductivity; deformation; disease states characterisation; irrotational components; magnetic resonance imaging; medical diagnostic imaging; scalar projection measurements; second-order tensor field; solenoidal components; strain; stress; tensor tomography; Biological tissues; Computer simulation; Conductivity; Diseases; Image reconstruction; Magnetic field induced strain; Magnetic field measurement; Magnetic resonance imaging; Tensile stress; Tomography;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.790810
  • Filename
    790810