• DocumentCode
    724871
  • Title

    Using 3D-SHORE and MAP-MRI to obtain both tractography and microstructural constrast from a clinical DMRI acquisition

  • Author

    Fick, R.H.J. ; Zucchelli, M. ; Girard, G. ; Descoteaux, M. ; Menegaz, G. ; Deriche, R.

  • Author_Institution
    Athena Project-Team, Inria Sophia Antipolis - Mediterranee, Sophia Antipolis, France
  • fYear
    2015
  • fDate
    16-19 April 2015
  • Firstpage
    436
  • Lastpage
    439
  • Abstract
    Diffusion MRI (dMRI) is used to characterize the directionality and microstructural properties of brain white matter (WM) by measuring the diffusivity of water molecules. In clinical practice the number of dMRI samples that can be obtained is limited, and one often uses short scanning protocols that acquire just 32 to 64 different gradient directions using a single gradient strength (b-value). Such `single shell´ scanning protocols restrict one to use methods that have assumptions on the radial decay of the dMRI signal over different b-values, which introduces estimation biases. In this work we show, that by simply spreading the same number of samples over multiple b-values (i.e. multi-shell) we can accurately estimate both the WM directionality using 3D-SHORE and characterize the radially dependent diffusion microstructure measures using MAP-MRI. We validate our approach by undersampling both noisy synthetic and human brain data of the Human Connectome Project, proving this approach is well-suited for clinical applications.
  • Keywords
    biodiffusion; biomedical MRI; brain; medical image processing; 3D SHORE; Human Connectome Project; MAP-MRI; brain white matter directionality; brain white matter microstructural properties; clinical DMRI acquisition; dMRI signal radial decay; diffusion MRI; human brain data; microstructural constrast; multishell scanning protocols; noisy synthetic brain data; radially dependent diffusion microstructure measures; tractography; water molecule diffusivity; Anisotropic magnetoresistance; Estimation; Magnetic resonance imaging; Microstructure; Nerve fibers; Robustness; Tensile stress; 3D-SHORE; Clinical Applications; Estimation Bias; MAP-MRI; Sparsity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
  • Conference_Location
    New York, NY
  • Type

    conf

  • DOI
    10.1109/ISBI.2015.7163905
  • Filename
    7163905