• DocumentCode
    2635592
  • Title

    Recovery of intra-voxel structure from HARD DWI

  • Author

    Chen, Yunmei ; Guo, Weihong ; Zeng, Qingguo ; He, Guojun ; Vemuri, Baba ; Liu, Yijun

  • Author_Institution
    Dept. of Math., Florida Univ., FL, USA
  • fYear
    2004
  • fDate
    15-18 April 2004
  • Firstpage
    1028
  • Abstract
    We present a variational framework for determination of intra-voxel fiber orientations from High Angular Resolution Diffusion-Weighted (HARD) MRI under the assumption of biGaussian diffusion. The approach is simultaneously estimating and regularizing the two tensor fields and the field of the proportionality corresponding to the mixture of two Gaussians. The prior information on location of the voxels with strong isotropic or one-fiber diffusion is incorporated into the energy functional in order to increase the accuracy of the estimations. The prior information on voxel classification is obtained from the spherical harmonic (SH) representation of the apparent diffusion coefficient (ADC) profiles estimated and regularized simultaneously from noisy HARD data. The performance of the proposed model has been evaluated on human HARD MR images, and the experimental results indicate the effectiveness of the model in recovering intra-voxel multi-fiber diffusion.
  • Keywords
    Gaussian processes; biodiffusion; biomedical MRI; apparent diffusion coefficient; biGaussian diffusion; high angular resolution diffusion-weighted MRI; intra-voxel fiber orientations; intra-voxel structure recovery; spherical harmonic representation; variational method; voxel classification; Character generation; Computed tomography; Equations; Fourier transforms; High-resolution imaging; Image resolution; Microstructure; Performance evaluation; Smoothing methods; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398716
  • Filename
    1398716