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
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