Impact of tissue atrophy on high-pass filtered MRI signal phase-based assessment in large-scale group-comparison studies: a simulation study
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Robert Zivadinov | Michael G. Dwyer | Ferdinand Schweser | Jürgen R. Reichenbach | Andreas Deistung | J. Reichenbach | M. Dwyer | R. Zivadinov | F. Schweser | A. Deistung
[1] Steven M LeVine,et al. Iron deposits in multiple sclerosis and Alzheimer's disease brains , 1997, Brain Research.
[2] E. Haacke,et al. Imaging iron stores in the brain using magnetic resonance imaging. , 2005, Magnetic resonance imaging.
[3] Y. Cheng,et al. Susceptibility mapping as a means to visualize veins and quantify oxygen saturation , 2010, Journal of magnetic resonance imaging : JMRI.
[4] Xenophon Papademetris,et al. Rapid calculations of susceptibility-induced magnetostatic field perturbations for in vivo magnetic resonance , 2006, Physics in medicine and biology.
[5] C. Moonen,et al. A fast calculation method for magnetic field inhomogeneity due to an arbitrary distribution of bulk susceptibility , 2003 .
[6] E. Erdfelder,et al. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses , 2009, Behavior research methods.
[7] W H Oldendorf,et al. Field dependent transverse relaxation rate increase may be a specific measure of tissue iron stores , 1993, Magnetic resonance in medicine.
[8] Xiaojun Xu,et al. Age, gender, and hemispheric differences in iron deposition in the human brain: An in vivo MRI study , 2008, NeuroImage.
[9] D. Noll,et al. Homodyne detection in magnetic resonance imaging. , 1991, IEEE transactions on medical imaging.
[10] R. Benedict,et al. The thalamus and multiple sclerosis , 2013, Neurology.
[11] Markus Barth,et al. Filtered deconvolution of a simulated and an in vivo phase model of the human brain , 2010, Journal of magnetic resonance imaging : JMRI.
[12] M. Dwyer,et al. Iron content of the pulvinar nucleus of the thalamus is increased in adolescent multiple sclerosis , 2013, Multiple sclerosis.
[13] Ferdinand Schweser,et al. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: An approach to in vivo brain iron metabolism? , 2011, NeuroImage.
[14] Min Lou,et al. Evaluation of Brain Iron Content Based on Magnetic Resonance Imaging (MRI): Comparison among Phase Value, R2* and Magnitude Signal Intensity , 2012, PloS one.
[15] Patrice Péran,et al. Voxel‐based analysis of R2* maps in the healthy human brain , 2007, Journal of magnetic resonance imaging : JMRI.
[16] Carlo Ciulla,et al. Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain , 2007, Journal of magnetic resonance imaging : JMRI.
[17] M. Ferrari,et al. 7 T MRI reveals diffuse iron deposition in putamen and caudate nucleus in CADASIL , 2012, Journal of Neurology, Neurosurgery & Psychiatry.
[18] M. Dwyer,et al. Iron Deposition on SWI-Filtered Phase in the Subcortical Deep Gray Matter of Patients with Clinically Isolated Syndrome May Precede Structure-Specific Atrophy , 2012, American Journal of Neuroradiology.
[19] Robert Zivadinov,et al. Brain iron accumulation in aging and neurodegenerative disorders , 2012, Expert review of neurotherapeutics.
[20] Robert Zivadinov,et al. Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis A case-control study , 2012, NeuroImage.
[21] P J Diaz,et al. MR susceptometry: an external‐phantom method for measuring bulk susceptibility from field‐echo phase reconstruction maps , 1994, Journal of magnetic resonance imaging : JMRI.
[22] Xiao-er Wei,et al. An Investigation of Age-Related Iron Deposition Using Susceptibility Weighted Imaging , 2012, PloS one.
[23] J. Reichenbach,et al. Magnetic susceptibility-weighted MR phase imaging of the human brain. , 2005, AJNR. American journal of neuroradiology.
[24] J R Reichenbach,et al. Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent. , 1997, Radiology.
[25] Ferdinand Schweser,et al. Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study , 2012, NeuroImage.
[26] Andreas Schäfer,et al. Using magnetic field simulation to study susceptibility-related phase contrast in gradient echo MRI , 2009, NeuroImage.
[27] Bing Wu,et al. Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition , 2011, NeuroImage.
[28] Ferdinand Schweser,et al. Toward online reconstruction of quantitative susceptibility maps: Superfast dipole inversion , 2013, Magnetic resonance in medicine.
[29] Yi Wang,et al. Calculation of susceptibility through multiple orientation sampling (COSMOS): A method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI , 2009, Magnetic resonance in medicine.
[30] Chunlei Liu,et al. Whole brain susceptibility mapping using compressed sensing , 2012, Magnetic resonance in medicine.
[31] J. Duyn,et al. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data , 2009, Magnetic resonance in medicine.
[32] J. Reichenbach,et al. Differentiation between diamagnetic and paramagnetic cerebral lesions based on magnetic susceptibility mapping. , 2010, Medical physics.
[33] T. Luo,et al. Iron deposition of the deep grey matter in patients with multiple sclerosis and neuromyelitis optica: a control quantitative study by 3D-enhanced susceptibility-weighted angiography (ESWAN). , 2012, European Journal of Radiology.
[34] J R Reichenbach,et al. High-Resolution MR Venography at 3.0 Tesla , 2000, Journal of computer assisted tomography.
[35] Hisashi Tanaka,et al. Determination of transverse relaxation rate for estimating iron deposits in central nervous system , 2005, Neuroscience Research.
[36] Ferdinand Schweser,et al. Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain , 2012, NeuroImage.
[37] Andrew J. Walsh,et al. Susceptibility phase imaging with comparison to R2* mapping of iron-rich deep grey matter , 2011, NeuroImage.
[38] Linda Douw,et al. Subcortical atrophy and cognition , 2012, Neurology.
[39] P D Griffiths,et al. Iron in the basal ganglia in Parkinson's disease. An in vitro study using extended X-ray absorption fine structure and cryo-electron microscopy. , 1999, Brain : a journal of neurology.
[40] T. Luo,et al. Iron deposition in the precentral grey matter in patients with multiple sclerosis: a quantitative study using susceptibility-weighted imaging. , 2013, European journal of radiology.
[41] Pascal Spincemaille,et al. Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping , 2013, Magnetic resonance in medicine.
[42] Robert Turner,et al. Toward in vivo histology: A comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2 ⁎-imaging at ultra-high magnetic field strength , 2013, NeuroImage.
[43] R. Bowtell,et al. Application of a Fourier‐based method for rapid calculation of field inhomogeneity due to spatial variation of magnetic susceptibility , 2005 .
[44] Jeff H. Duyn,et al. Susceptibility contrast in high field MRI of human brain as a function of tissue iron content , 2009, NeuroImage.
[45] B. Drayer,et al. Reduced signal intensity on MR images of thalamus and putamen in multiple sclerosis: increased iron content? , 1987, AJR. American journal of roentgenology.
[46] R. Bowtell,et al. Susceptibility mapping in the human brain using threshold‐based k‐space division , 2010, Magnetic resonance in medicine.
[47] Helen Nichol,et al. Brain iron detected by SWI high pass filtered phase calibrated with synchrotron X‐ray fluorescence , 2010, Journal of magnetic resonance imaging : JMRI.
[48] R. Herfkens,et al. Magnetic resonance imaging in multiple sclerosis: Decreased signal in thalamus and putamen , 1987, Annals of neurology.
[49] J. R. Reichenbach,et al. Effect of Age on MRI Phase Behavior in the Subcortical Deep Gray Matter of Healthy Individuals , 2013, American Journal of Neuroradiology.
[50] Andrea Cherubini,et al. Aging of subcortical nuclei: Microstructural, mineralization and atrophy modifications measured in vivo using MRI , 2009, NeuroImage.
[51] A. Minagar,et al. Gray matter SWI-filtered phase and atrophy are linked to disability in MS. , 2013, Frontiers in bioscience.
[52] Yi Wang,et al. A novel background field removal method for MRI using projection onto dipole fields (PDF) , 2011, NMR in biomedicine.
[53] Edgar Erdfelder,et al. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.