• DocumentCode
    2541774
  • Title

    A Software System for Anisotropic Diffusion Analysis of Diffusion Tensor Images

  • Author

    Chang, Chia-Hao ; Hsu, Chih-Yu ; Yang, Yu-Jen ; Tseng, Kuo-Kun

  • Author_Institution
    Inst. of Nucl. Energy Res., Longtan, Taiwan
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    752
  • Lastpage
    755
  • Abstract
    A software system of an isotropic diffusion analysis was developed for diffusion index calculation and fiber tractography of diffusion tensor magnetic resonance imaging (DT-MRI) data. The least square method is used to solve tensor calculation. The fractional anisotropy (FA) and color-coded FA mapping were calculated. The paper explain how to calculate diffusion tensor, eigenvalues and other parameters of each voxel and the fiber tracts. The fibers in the whole brain were obtained by the Streamline Tracking Techniques (STT). Matlab code developed the software program for an isotropic diffusion analysis of diffusion tensor images and it will be opened in the sprit of open source. We hope the code will help the researchers who are interested in the DTI images for research of neuron science.
  • Keywords
    biomedical MRI; brain; image colour analysis; least squares approximations; medical image processing; anisotropic diffusion analysis; brain fiber; color coded FA; diffusion tensor magnetic resonance imaging; fiber tractography; fractional anisotropy; least square method; neuron science; software system; streamline tracking technique; tensor calculation; Anisotropic magnetoresistance; Diffusion tensor imaging; Eigenvalues and eigenfunctions; Optical fiber communication; Optical fiber theory; Tensile stress; Three dimensional displays; Diffusion Tensor Images; Fibers Tracking; Fractional Anisotropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-8891-9
  • Electronic_ISBN
    978-0-7695-4281-2
  • Type

    conf

  • DOI
    10.1109/ICGEC.2010.190
  • Filename
    5715540