• DocumentCode
    72205
  • Title

    Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging

  • Author

    Poynton, Clare B. ; Jenkinson, Mark ; Adalsteinsson, Elfar ; Sullivan, Edith V. ; Pfefferbaum, Adolf ; Wells, William

  • Author_Institution
    Harvard-MIT Div. of Health Sci. & Technol. (HST), Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    34
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    339
  • Lastpage
    353
  • Abstract
    There is increasing evidence that iron deposition occurs in specific regions of the brain in normal aging and neurodegenerative disorders such as Parkinson´s, Huntington´s, and Alzheimer´s disease. Iron deposition changes the magnetic susceptibility of tissue, which alters the MR signal phase, and allows estimation of susceptibility differences using quantitative susceptibility mapping (QSM). We present a method for quantifying susceptibility by inversion of a perturbation model, or “QSIP.” The perturbation model relates phase to susceptibility using a kernel calculated in the spatial domain, in contrast to previous Fourier-based techniques. A tissue/air susceptibility atlas is used to estimate B0 inhomogeneity. QSIP estimates in young and elderly subjects are compared to postmortem iron estimates, maps of the Field-Dependent Relaxation Rate Increase, and the L1-QSM method. Results for both groups showed excellent agreement with published postmortem data and in vivo FDRI: statistically significant Spearman correlations ranging from Rho=0.905 to Rho=1.00 were obtained. QSIP also showed improvement over FDRI and L1-QSM: reduced variance in susceptibility estimates and statistically significant group differences were detected in striatal and brainstem nuclei, consistent with age-dependent iron accumulation in these regions.
  • Keywords
    Fourier analysis; biological tissues; biomedical MRI; brain; iron; magnetic susceptibility; medical disorders; medical image processing; neurophysiology; perturbation theory; Alzheimer disease; B0 inhomogeneity; Fourier-based techniques; Huntington disease; L1-QSM method; MR signal phase; Parkinson disease; age-dependent iron accumulation; brain iron correlation; brainstem nuclei; field-dependent relaxation rate increase; iron deposition; kernel; magnetic susceptibility; neurodegenerative disorders; normal aging; perturbation field model inversion; perturbation model; postmortem iron estimates; published postmortem data; quantitative susceptibility mapping; spatial domain; statistically significant Spearman correlations; striatal nuclei; tissue-air susceptibility atlas; Brain modeling; Estimation; Iron; Kernel; Laplace equations; Magnetic resonance imaging; Magnetic susceptibility; Atlases; brain iron; inverse methods; magnetic resonance imaging (MRI); normal aging; quantitative susceptibility mapping;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2014.2358552
  • Filename
    6899685