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

1Harvard-MIT Division of Health Science & Technology (HST), Massachusetts Institute of Technology, Cambridge, MA, USA.
2Surgical Planning Laboratory, Brigham and Women´s Hospital, Harvard Medical School, Boston, MA, USA.
IEEE Engineering in Medicine and Biology Society
Publication Date:
IEEE Trans Med Imaging
Volume Number:
Issue Number:
IEEE Trans Med Imaging. 2015 Jan;34(1):339-53.
PubMed ID:
Atlases, brain iron, inverse methods, MRI, normal aging, quantitative susceptibility mapping
Appears in Collections:
K05 AA017168/AA/NIAAA NIH HHS/United States
P41 EB015898/EB/NIBIB NIH HHS/United States
P41 EB015902/EB/NIBIB NIH HHS/United States
P41 RR013218/RR/NCRR NIH HHS/United States
P41 RR019703/RR/NCRR NIH HHS/United States
R01 AA012388/AA/NIAAA NIH HHS/United States
T32 EB0011680/EB/NIBIB NIH HHS/United States
Generated Citation:
Poynton C., Jenkinson M., Adalsteinsson E., Sullivan E.V., Pfefferbaum A., Wells III W.M. Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation with Brain Iron in Normal Aging. IEEE Trans Med Imaging. 2015 Jan;34(1):339-53. PMID: 25248179. PMCID: PMC4404631.
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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.

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