Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging
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William M. Wells | Edith V. Sullivan | Adolf Pfefferbaum | Mark Jenkinson | Elfar Adalsteinsson | Clare B. Poynton | M. Jenkinson | A. Pfefferbaum | E. Adalsteinsson | E. Sullivan | C. Poynton | W. Wells
[1] Xenophon Papademetris,et al. Rapid calculations of susceptibility-induced magnetostatic field perturbations for in vivo magnetic resonance , 2006, Physics in medicine and biology.
[2] Yi Wang,et al. Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map , 2012, NeuroImage.
[3] S. H. Koenig,et al. Transverse relaxation of solvent protons induced by magnetized spheres: Application to ferritin, erythrocytes, and magnetite , 1987, Magnetic resonance in medicine.
[4] J W Langston,et al. The correlation between phase shifts in gradient-echo MR images and regional brain iron concentration. , 1999, Magnetic resonance imaging.
[5] Peter Jezzard,et al. Requirements for room temperature shimming of the human brain , 2006, Magnetic resonance in medicine.
[6] R. Weisskoff,et al. MRI susceptometry: Image‐based measurement of absolute susceptibility of MR contrast agents and human blood , 1992, Magnetic resonance in medicine.
[7] Jaladhar Neelavalli,et al. Removing background phase variations in susceptibility‐weighted imaging using a fast, forward‐field calculation , 2009, Journal of magnetic resonance imaging : JMRI.
[8] Andreas Schäfer,et al. High resolution magnetic susceptibility mapping of the substantia nigra in Parkinson's disease , 2012, Journal of magnetic resonance imaging : JMRI.
[9] 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.
[10] Karen M Rodrigue,et al. Brain Aging and Its Modifiers , 2007, Annals of the New York Academy of Sciences.
[11] S. H. Koenig,et al. Relaxometry of ferritin solutions and the influence of the Fe3+ core ions , 1986, Magnetic resonance in medicine.
[12] Adolf Pfefferbaum,et al. The SRI24 multichannel atlas of normal adult human brain structure , 2009, Human brain mapping.
[13] R. Bowtell,et al. Susceptibility mapping in the human brain using threshold‐based k‐space division , 2010, Magnetic resonance in medicine.
[14] A. Koeppen,et al. The history of iron in the brain , 1995, Journal of the Neurological Sciences.
[15] Pascal Spincemaille,et al. Nonlinear Regularization for Per Voxel Estimation of Magnetic Susceptibility Distributions From MRI Field Maps , 2010, IEEE Transactions on Medical Imaging.
[16] Bing Wu,et al. High-field (9.4T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility , 2011, NeuroImage.
[17] E. Haacke,et al. Imaging iron stores in the brain using magnetic resonance imaging. , 2005, Magnetic resonance imaging.
[18] Jim Mintz,et al. Brain ferritin iron may influence age- and gender-related risks of neurodegeneration , 2007, Neurobiology of Aging.
[19] Trong-Kha Truong,et al. Three-dimensional numerical simulations of susceptibility-induced magnetic field inhomogeneities in the human head. , 2002, Magnetic resonance imaging.
[20] B. Hallgren,et al. THE EFFECT OF AGE ON THE NON‐HAEMIN IRON IN THE HUMAN BRAIN , 1958, Journal of neurochemistry.
[21] Min Zhang,et al. Reducing the object orientation dependence of susceptibility effects in gradient echo MRI through quantitative susceptibility mapping , 2012, Magnetic resonance in medicine.
[22] D. Berg,et al. In vivo detection of iron and neuromelanin by transcranial sonography – a new approach for early detection of substantia nigra damage , 2006, Journal of Neural Transmission.
[23] J. Leigh,et al. High-precision mapping of the magnetic field utilizing the harmonic function mean value property. , 2001, Journal of magnetic resonance.
[24] J. Duyn,et al. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data , 2009, Magnetic resonance in medicine.
[25] Kilian M. Pohl,et al. The Impact of Atlas Formation Methods on Atlas-Guided Brain Segmentation , 2007 .
[26] M. Yamada,et al. [Dementia rating scale]. , 1997, Nihon rinsho. Japanese journal of clinical medicine.
[27] Mark Jenkinson,et al. Fast, automated, N‐dimensional phase‐unwrapping algorithm , 2003, Magnetic resonance in medicine.
[28] J. Reichenbach,et al. Differentiation between diamagnetic and paramagnetic cerebral lesions based on magnetic susceptibility mapping. , 2010, Medical physics.
[29] J. Tripp,et al. Magnetic-susceptibility measurement of human iron stores. , 1982, The New England journal of medicine.
[30] Richard Bowtell,et al. Whole-brain susceptibility mapping at high field: A comparison of multiple- and single-orientation methods , 2010, NeuroImage.
[31] R. R. Abidin. Psychological Assessment Resources , 1995 .
[32] S. H. Koenig,et al. Magnetic field dependence of solvent proton relaxation in aqueous solutions of Fe3+ complexes , 1985, Magnetic resonance in medicine.
[33] J. Connor,et al. Iron, brain ageing and neurodegenerative disorders , 2004, Nature Reviews Neuroscience.
[34] M A Moerland,et al. Numerical analysis of the magnetic field for arbitrary magnetic susceptibility distributions in 2D. , 1992, Magnetic resonance imaging.
[35] John S Leigh,et al. Quantifying arbitrary magnetic susceptibility distributions with MR , 2004, Magnetic resonance in medicine.
[36] A. Gregory,et al. Neurodegeneration with brain iron accumulation. , 2005, Folia neuropathologica.
[37] Jeff H. Duyn,et al. High-field MRI of brain cortical substructure based on signal phase , 2007, Proceedings of the National Academy of Sciences.
[38] J L Lancaster,et al. Automated Talairach Atlas labels for functional brain mapping , 2000, Human brain mapping.
[39] Yi Wang,et al. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: Validation and application to brain imaging , 2010, Magnetic resonance in medicine.
[40] C. Moonen,et al. A fast calculation method for magnetic field inhomogeneity due to an arbitrary distribution of bulk susceptibility , 2003 .
[41] Yu-Chung N. Cheng,et al. Susceptibility weighted imaging (SWI) , 2004, Zeitschrift fur medizinische Physik.
[42] Pascal Spincemaille,et al. Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping , 2013, Magnetic resonance in medicine.
[43] Yi Wang,et al. Quantitative MR susceptibility mapping using piece‐wise constant regularized inversion of the magnetic field , 2008, Magnetic resonance in medicine.
[44] M. Fukunaga,et al. Sensitivity of MRI resonance frequency to the orientation of brain tissue microstructure , 2010, Proceedings of the National Academy of Sciences.
[45] B. Rosen,et al. The role of ferritin and hemosiderin in the MR appearance of cerebral hemorrhage: a histopathologic biochemical study in rats. , 1990, AJR. American journal of roentgenology.
[46] R. Bowtell,et al. Application of a Fourier‐based method for rapid calculation of field inhomogeneity due to spatial variation of magnetic susceptibility , 2005 .
[47] Jeff H. Duyn,et al. Susceptibility contrast in high field MRI of human brain as a function of tissue iron content , 2009, NeuroImage.
[48] Torsten Rohlfing,et al. Nonrigid image registration in shared-memory multiprocessor environments with application to brains, breasts, and bees , 2003, IEEE Transactions on Information Technology in Biomedicine.
[49] M A Moerland,et al. Numerical analysis of the magnetic field for arbitrary magnetic susceptibility distributions in 3D. , 1994, Magnetic resonance imaging.
[50] G. Bartzokis,et al. MR evaluation of age-related increase of brain iron in young adult and older normal males. , 1997, Magnetic resonance imaging.
[51] Christopher M Collins,et al. Numerical calculations of the static magnetic field in three-dimensional multi-tissue models of the human head. , 2002, Magnetic resonance imaging.
[52] D. A. Dunnett. Classical Electrodynamics , 2020, Nature.
[53] Jim Mintz,et al. Myelin Breakdown and Iron Changes in Huntington’s Disease: Pathogenesis and Treatment Implications , 2007, Neurochemical Research.
[54] Jean-Pierre Lin,et al. Childhood disorders of neurodegeneration with brain iron accumulation (NBIA) , 2011, Developmental medicine and child neurology.
[55] D. Berg,et al. In vivo detection of iron and neuromelanin by transcranial sonography: A new approach for early detection of substantia nigra damage , 2005, Movement disorders : official journal of the Movement Disorder Society.
[56] 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.
[57] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[58] 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.
[59] R. Fox,et al. Classical Electrodynamics, 3rd ed. , 1999 .
[60] Daniela Berg,et al. Echogenicity of the substantia nigra: association with increased iron content and marker for susceptibility to nigrostriatal injury. , 2002, Archives of neurology.
[61] W. Eric L. Grimson,et al. Anatomical guided segmentation with non-stationary tissue class distributions in an expectation-maximization framework , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).
[62] William M. Wells,et al. Quantitative susceptibility mapping and susceptibility-based distortion correction of echo planar images , 2012 .
[63] 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.
[64] K. Jellinger,et al. Brain iron and ferritin in Parkinson's and Alzheimer's diseases , 1990, Journal of neural transmission. Parkinson's disease and dementia section.
[65] S Li,et al. Three‐dimensional mapping of the static magnetic field inside the human head , 1996, Magnetic resonance in medicine.
[66] H. Lassmann. Mechanisms of neurodegeneration shared between multiple sclerosis and Alzheimer’s disease , 2011, Journal of Neural Transmission.
[67] K. Sveda,et al. Shim coils for NMR and MRI solenoid magnets , 1995 .
[68] Yu-Chung N. Cheng,et al. Limitations of calculating field distributions and magnetic susceptibilities in MRI using a Fourier based method , 2009, Physics in medicine and biology.
[69] Mark Jenkinson,et al. Perturbation method for magnetic field calculations of nonconductive objects , 2004, Magnetic resonance in medicine.
[70] Jim Mintz,et al. In vivo evaluation of brain iron in Alzheimer's disease and normal subjects using MRI , 1994, Biological Psychiatry.
[71] Torsten Rohlfing,et al. MRI estimates of brain iron concentration in normal aging: Comparison of field-dependent (FDRI) and phase (SWI) methods , 2009, NeuroImage.
[72] Yi Wang,et al. A novel background field removal method for MRI using projection onto dipole fields (PDF) , 2011, NMR in biomedicine.
[73] William M. Wells,et al. Atlas-Based Improved Prediction of Magnetic Field Inhomogeneity for Distortion Correction of EPI Data , 2009, MICCAI.
[74] D. Louis Collins,et al. Unbiased average age-appropriate atlases for pediatric studies , 2011, NeuroImage.
[75] Torsten Rohlfing,et al. MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping , 2011, NeuroImage.