The clinical utility of QSM: disease diagnosis, medical management, and surgical planning
暂无分享,去创建一个
Yi Wang | Ajay Gupta | Alexey Dimov | Sarah Eskreis-Winkler | Yan Zhang | Yi Wang | Zhe Liu | Ajay Gupta | Yan Zhang | Sarah Eskreis-Winkler | Jingwei Zhang | Jingwei Zhang | Zhe Liu | Alexey V. Dimov
[1] Pascal Spincemaille,et al. Quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) using quantitative susceptibility mapping (QSM) , 2015, Magnetic resonance in medicine.
[2] C. Lind,et al. Magnetic resonance imaging of the subthalamic nucleus for deep brain stimulation. , 2016, Journal of neurosurgery.
[3] Jon Thacker,et al. Evaluation of Iron Content in Human Cerebral Cavernous Malformation Using Quantitative Susceptibility Mapping , 2014, Investigative radiology.
[4] Rolf Gruetter,et al. A modulated closed form solution for quantitative susceptibility mapping — A thorough evaluation and comparison to iterative methods based on edge prior knowledge , 2015, NeuroImage.
[5] 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.
[6] Tsutomu Okada,et al. Quantitative Susceptibility Mapping at 3 T and 1.5 T: Evaluation of Consistency and Reproducibility , 2015, Investigative radiology.
[7] Weiyu Xu,et al. Accuracy of the Morphology Enabled Dipole Inversion (MEDI) Algorithm for Quantitative Susceptibility Mapping in MRI , 2012, IEEE Transactions on Medical Imaging.
[8] J. Reichenbach,et al. Detection of Cerebral Microbleeds with Quantitative Susceptibility Mapping in the Arcabeta Mouse Model of Cerebral Amyloidosis , 2011, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[9] Tian Liu,et al. Quantitative susceptibility mapping in patients with systemic lupus erythematosus: detection of abnormalities in normal-appearing basal ganglia , 2016, European Radiology.
[10] S. Lehéricy,et al. Reproducibility of R2* and quantitative susceptibility mapping (QSM) reconstruction methods in the basal ganglia of healthy subjects , 2017, NMR in biomedicine.
[11] Ferdinand Schweser,et al. Quantitative Susceptibility Mapping Differentiates between Blood Depositions and Calcifications in Patients with Glioblastoma , 2013, PloS one.
[12] J. Dankert,et al. PENICILLIN-SENSITIVE STREPTOCOCCAL ENDOCARDITIS , 1982, The Lancet.
[13] D. Dexter,et al. Brain iron metabolism and its perturbation in neurological diseases , 2011 .
[14] A. Wilman,et al. Background field removal using spherical mean value filtering and Tikhonov regularization , 2014, Magnetic resonance in medicine.
[15] Paul Krack,et al. Electrophysiological mapping for the implantation of deep brain stimulators for Parkinson's disease and tremor , 2006, Movement disorders : official journal of the Movement Disorder Society.
[16] Erika P. Raven,et al. Increased iron levels and decreased tissue integrity in hippocampus of Alzheimer's disease detected in vivo with magnetic resonance imaging. , 2013, Journal of Alzheimer's disease : JAD.
[17] Guy B. Williams,et al. In Vivo Quantitative Susceptibility Mapping (QSM) in Alzheimer's Disease , 2013, PloS one.
[18] Dong Zhou,et al. Magnetic susceptibility anisotropy: Cylindrical symmetry from macroscopically ordered anisotropic molecules and accuracy of MRI measurements using few orientations , 2013, NeuroImage.
[19] H. Lassmann,et al. Pathology of multiple sclerosis and related inflammatory demyelinating diseases. , 2014, Handbook of clinical neurology.
[20] Dong Zhou,et al. An iterative spherical mean value method for background field removal in MRI , 2014, Magnetic resonance in medicine.
[21] Tian Liu,et al. Quantitative susceptibility mapping of the motor cortex in amyotrophic lateral sclerosis and primary lateral sclerosis. , 2015, AJR. American journal of roentgenology.
[22] Yi Wang,et al. Quantitative susceptibility mapping (QSM) of white matter multiple sclerosis lesions: Interpreting positive susceptibility and the presence of iron , 2015, Magnetic resonance in medicine.
[23] Julie C Stout,et al. Iron accumulation in the basal ganglia in Huntington's disease: cross-sectional data from the IMAGE-HD study , 2015, Journal of Neurology, Neurosurgery & Psychiatry.
[24] R R Edelman,et al. Quantitative Susceptibility Mapping in Cerebral Cavernous Malformations: Clinical Correlations , 2016, American Journal of Neuroradiology.
[25] J. Ellis. Cholinesterase Inhibitors in the Treatment of Dementia , 2005, The Journal of the American Osteopathic Association.
[26] P. Jezzard,et al. Quantitative measurement of cerebral physiology using respiratory-calibrated MRI , 2012, NeuroImage.
[27] B. Forstmann,et al. A gradual increase of iron toward the medial‐inferior tip of the subthalamic nucleus , 2014, Human brain mapping.
[28] Patrik Brundin,et al. Pathogenesis of Parkinson's disease: dopamine, vesicles and alpha-synuclein. , 2002, Nature reviews. Neuroscience.
[29] Xuemei Huang,et al. Quantitative susceptibility mapping of the midbrain in Parkinson's disease , 2016, Movement disorders : official journal of the Movement Disorder Society.
[30] David Pitt,et al. Iron Is a Sensitive Biomarker for Inflammation in Multiple Sclerosis Lesions , 2013, PloS one.
[31] B. Rutt,et al. In Vivo 7T MR Quantitative Susceptibility Mapping Reveals Opposite Susceptibility Contrast between Cortical and White Matter Lesions in Multiple Sclerosis , 2016, American Journal of Neuroradiology.
[32] Wei Cao,et al. A method for estimating and removing streaking artifacts in quantitative susceptibility mapping , 2015, NeuroImage.
[33] Yi Wang,et al. Magnetic source MRI: A new quantitative imaging of magnetic biomarkers , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[34] W. Frey,et al. Intranasal deferoxamine engages multiple pathways to decrease memory loss in the APP/PS1 model of amyloid accumulation , 2015, Neuroscience Letters.
[35] Alzheimer’s Disease Neuroimaging Initiative,et al. Ferritin levels in the cerebrospinal fluid predict Alzheimer's disease outcomes and are regulated by APOE , 2015 .
[36] Pascal Spincemaille,et al. Flow compensated quantitative susceptibility mapping for venous oxygenation imaging , 2014, Magnetic resonance in medicine.
[37] H. Lassmann. Pathophysiology of inflammation and tissue injury in multiple sclerosis: What are the targets for therapy , 2011, Journal of the Neurological Sciences.
[38] Xue Xiao,et al. Integrated Laplacian‐based phase unwrapping and background phase removal for quantitative susceptibility mapping , 2014, NMR in biomedicine.
[39] Robert Turner,et al. Seven-Tesla Magnetic Resonance Imaging in Wilson Disease Using Quantitative Susceptibility Mapping for Measurement of Copper Accumulation , 2014, Investigative radiology.
[40] Tian Liu,et al. Dynamic Permeability and Quantitative Susceptibility: Related Imaging Biomarkers in Cerebral Cavernous Malformations , 2014, Stroke.
[41] Erich O. Richter,et al. Determining the position and size of the subthalamic nucleus based on magnetic resonance imaging results in patients with advanced Parkinson disease. , 2004, Journal of neurosurgery.
[42] Yi Wang,et al. Improved subthalamic nucleus depiction with quantitative susceptibility mapping. , 2013, Radiology.
[43] Yi Wang,et al. Unambiguous identification of superparamagnetic iron oxide particles through quantitative susceptibility mapping of the nonlinear response to magnetic fields. , 2010, Magnetic resonance imaging.
[44] Felix W. Wehrli,et al. Susceptibility‐based time‐resolved whole‐organ and regional tissue oximetry , 2017, NMR in biomedicine.
[45] Yi Wang,et al. Background field removal by solving the Laplacian boundary value problem , 2014, NMR in biomedicine.
[46] Scott Daniel Eggers. Harrison's Neurology in Clinical Medicine , 2006 .
[47] Yi Wang,et al. Multiple sclerosis lesion geometry in quantitative susceptibility mapping (QSM) and phase imaging , 2015, Journal of magnetic resonance imaging : JMRI.
[48] Claudine Joëlle Gauthier,et al. Magnetic resonance imaging of resting OEF and CMRO2 using a generalized calibration model for hypercapnia and hyperoxia , 2012, NeuroImage.
[49] Pascal Spincemaille,et al. Reproducibility of quantitative susceptibility mapping in the brain at two field strengths from two vendors , 2015, Journal of magnetic resonance imaging : JMRI.
[50] E Mark Haacke,et al. Quantifying brain iron deposition in patients with Parkinson's disease using quantitative susceptibility mapping, R2 and R2. , 2015, Magnetic resonance imaging.
[51] C. Crainiceanu,et al. Predicting Breakdown of the Blood-Brain Barrier in Multiple Sclerosis without Contrast Agents , 2012, American Journal of Neuroradiology.
[52] Kristian Bredies,et al. Fast quantitative susceptibility mapping using 3D EPI and total generalized variation , 2015, NeuroImage.
[53] M V Knopp,et al. Basal Ganglia Iron in Patients with Multiple Sclerosis Measured with 7T Quantitative Susceptibility Mapping Correlates with Inhibitory Control , 2016, American Journal of Neuroradiology.
[54] R. Bowtell,et al. Susceptibility mapping in the human brain using threshold‐based k‐space division , 2010, Magnetic resonance in medicine.
[55] R. Grossman,et al. Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging , 2009, Journal of magnetic resonance imaging : JMRI.
[56] Shigeru Furui,et al. High Signal Intensity in Dentate Nucleus on Unenhanced T1-weighted MR Images: Association with Linear versus Macrocyclic Gadolinium Chelate Administration. , 2015, Radiology.
[57] Wei Li,et al. Susceptibility tensor imaging (STI) of the brain , 2017, NMR in biomedicine.
[58] A. Roebroeck,et al. Ultra-high field magnetic resonance imaging of the basal ganglia and related structures , 2014, Front. Hum. Neurosci..
[59] Pascal J. Kieslich,et al. Gadolinium retention in the dentate nucleus and globus pallidus is dependent on the class of contrast agent. , 2015, Radiology.
[60] DuhamelAlain,et al. Targeting chelatable iron as a therapeutic modality in Parkinson's disease. , 2014 .
[61] Tian Liu,et al. Intracranial calcifications and hemorrhages: characterization with quantitative susceptibility mapping. , 2013, Radiology.
[62] J. Walshe,et al. Chelation treatment of neurological Wilson's disease. , 1993, The Quarterly journal of medicine.
[63] C. Marsden,et al. Alterations in levels of iron, ferritin, and other trace metals in neurodegenerative diseases affecting the basal ganglia , 1992 .
[64] B. Caffo,et al. Lesion Heterogeneity on High-Field Susceptibility MRI Is Associated with Multiple Sclerosis Severity , 2016, American Journal of Neuroradiology.
[65] H. Kamel,et al. Oxygen Extraction Fraction and Stroke Risk in Patients with Carotid Stenosis or Occlusion: A Systematic Review and Meta-Analysis , 2014, American Journal of Neuroradiology.
[66] Tian Liu,et al. Enhancing k‐space quantitative susceptibility mapping by enforcing consistency on the cone data (CCD) with structural priors , 2016, Magnetic resonance in medicine.
[67] Bing Wu,et al. Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition , 2011, NeuroImage.
[68] Y Wang,et al. Quantitative Susceptibility Mapping and R2* Measured Changes during White Matter Lesion Development in Multiple Sclerosis: Myelin Breakdown, Myelin Debris Degradation and Removal, and Iron Accumulation , 2016, American Journal of Neuroradiology.
[69] C. Marsden,et al. INCREASED NIGRAL IRON CONTENT IN POSTMORTEM PARKINSONIAN BRAIN , 1987, The Lancet.
[70] Pascal Spincemaille,et al. Cerebral microbleeds: burden assessment by using quantitative susceptibility mapping. , 2012, Radiology.
[71] G. Johnson,et al. Dynamic contrast-enhanced quantitative susceptibility mapping with ultrashort echo time MRI for evaluating renal function. , 2016, American journal of physiology. Renal physiology.
[72] Lawrence L. Wald,et al. Fast quantitative susceptibility mapping with L1‐regularization and automatic parameter selection , 2013, Magnetic resonance in medicine.
[73] M. Yorubulut,et al. T2-weighted MRI in Parkinson's disease; substantia nigra pars compacta hypointensity correlates with the clinical scores. , 2004, Neurology India.
[74] Jian-Qiang Lu,et al. Validation of quantitative susceptibility mapping with Perls' iron staining for subcortical gray matter , 2015, NeuroImage.
[75] Ravi S. Menon,et al. Multiple sclerosis: improved identification of disease-relevant changes in gray and white matter by using susceptibility-based MR imaging. , 2014, Radiology.
[76] J. Duyn,et al. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data , 2009, Magnetic resonance in medicine.
[77] P. McCrory,et al. Updated guidelines for the management of sports-related concussion in general practice. , 2014, Australian family physician.
[78] E M Haacke,et al. Iron and Non-Iron-Related Characteristics of Multiple Sclerosis and Neuromyelitis Optica Lesions at 7T MRI , 2016, American Journal of Neuroradiology.
[79] Ferdinand Schweser,et al. Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study , 2012, NeuroImage.
[80] Y Wang,et al. Usefulness of Quantitative Susceptibility Mapping for the Diagnosis of Parkinson Disease , 2015, American Journal of Neuroradiology.
[81] J. Schenck,et al. Iron accumulation in the substantia nigra of patients with Alzheimer disease and parkinsonism. , 2009, Archives of neurology.
[82] Jiwon Oh,et al. Magnetic susceptibility contrast variations in multiple sclerosis lesions , 2016, Journal of magnetic resonance imaging : JMRI.
[83] Richard D Moore,et al. Performance of a Limiting-Antigen Avidity Enzyme Immunoassay for Cross-Sectional Estimation of HIV Incidence in the United States , 2013, PloS one.
[84] Y. Cheng,et al. Susceptibility mapping as a means to visualize veins and quantify oxygen saturation , 2010, Journal of magnetic resonance imaging : JMRI.
[85] P-Y Lin,et al. Quantitative Susceptibility Mapping of Human Brain at 3T: A Multisite Reproducibility Study , 2015, American Journal of Neuroradiology.
[86] P. Lundberg,et al. Quantitative MRI for Analysis of Active Multiple Sclerosis Lesions without Gadolinium-Based Contrast Agent , 2016, American Journal of Neuroradiology.
[87] Nian Wang,et al. Regionally progressive accumulation of iron in Parkinson's disease as measured by quantitative susceptibility mapping , 2017, NMR in biomedicine.
[88] V. Caso,et al. Neuroimaging in Intracerebral Hemorrhage , 2014, Stroke.
[89] Tian Liu,et al. Internal structures of the globus pallidus in patients with Parkinson’s disease: evaluation with quantitative susceptibility mapping (QSM) , 2015, European Radiology.
[90] Wei Liu,et al. Imaging Cerebral Microhemorrhages in Military Service Members with Chronic Traumatic Brain Injury. , 2016, Radiology.
[91] D. Kansagara,et al. Complications of Mild Traumatic Brain Injury in Veterans and Military Personnel: A Systematic Review , 2013 .
[92] R. Spataro,et al. Factors affecting the diagnostic delay in amyotrophic lateral sclerosis , 2012, Clinical Neurology and Neurosurgery.
[93] F. Barkhof,et al. Brain and spinal cord abnormalities in multiple sclerosis. Correlation between MRI parameters, clinical subtypes and symptoms. , 1998, Brain : a journal of neurology.
[94] 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.
[95] T. Duong,et al. Amethod for estimating and removing streaking artifacts in quantitative susceptibility mapping , 2015 .
[96] Shuai Wang,et al. Noise Effects in Various Quantitative Susceptibility Mapping Methods , 2013, IEEE Transactions on Biomedical Engineering.
[97] Y Wang,et al. Lateral Asymmetry and Spatial Difference of Iron Deposition in the Substantia Nigra of Patients with Parkinson Disease Measured with Quantitative Susceptibility Mapping , 2016, American Journal of Neuroradiology.
[98] Yi Wang,et al. Quantitative s usceptibility Mapping of Multiple s clerosis lesions at Various ages 1 , 2014 .
[99] Pascal Spincemaille,et al. The influence of molecular order and microstructure on the R2* and the magnetic susceptibility tensor. , 2016, Magnetic resonance imaging.
[100] Paul S Larson,et al. Image-guided deep brain stimulation. , 2014, Neurosurgery clinics of North America.
[101] 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.
[102] Jeff H Duyn,et al. The role of iron in brain ageing and neurodegenerative disorders , 2014, The Lancet Neurology.
[103] M. Dwyer,et al. Associations between changes in ferritin levels and susceptibility-weighted imaging filtered phase in patients with relapsing–remitting multiple sclerosis over 24weeks of therapy with subcutaneous interferon beta-1a three times weekly , 2015, Journal of Neuroimmunology.
[104] Yi Wang,et al. Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker , 2014, Magnetic resonance in medicine.
[105] Pascal Spincemaille,et al. Nonlinear Regularization for Per Voxel Estimation of Magnetic Susceptibility Distributions From MRI Field Maps , 2010, IEEE Transactions on Medical Imaging.
[106] Jeff H. Duyn,et al. Iron Accumulation in Deep Cortical Layers Accounts for MRI Signal Abnormalities in ALS: Correlating 7 Tesla MRI and Pathology , 2012, PloS one.
[107] Bruce R. Rosen,et al. Regional quantification of cerebral venous oxygenation from MRI susceptibility during hypercapnia , 2015, NeuroImage.
[108] J. Connor,et al. Iron status and neural functioning. , 2003, Annual review of nutrition.
[109] Yi Wang,et al. Morphology enabled dipole inversion (MEDI) from a single‐angle acquisition: Comparison with COSMOS in human brain imaging , 2011, Magnetic resonance in medicine.
[110] Chunlei Liu. Susceptibility tensor imaging , 2010, Magnetic resonance in medicine.
[111] 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.
[112] Christian Langkammer,et al. Iron and Neurodegeneration in Multiple Sclerosis , 2011, Multiple sclerosis international.
[113] Pascal Spincemaille,et al. Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping , 2013, Magnetic resonance in medicine.
[114] T. Rouault,et al. Iron metabolism in the CNS: implications for neurodegenerative diseases , 2013, Nature Reviews Neuroscience.
[115] Simon Hametner,et al. Iron and neurodegeneration in the multiple sclerosis brain , 2013, Annals of neurology.
[116] R. Bowtell,et al. Increase in the iron content of the substantia nigra and red nucleus in multiple sclerosis and clinically isolated syndrome: A 7 Tesla MRI study , 2015, Journal of magnetic resonance imaging : JMRI.
[117] B. Forstmann,et al. Direct visualization of the subthalamic nucleus and its iron distribution using high‐resolution susceptibility mapping , 2012, Human brain mapping.
[118] 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.
[119] Min Lou,et al. Hematoma Volume Measurement in Gradient Echo MRI Using Quantitative Susceptibility Mapping , 2013, Stroke.
[120] Xu Li,et al. Mapping magnetic susceptibility anisotropies of white matter in vivo in the human brain at 7T , 2012, NeuroImage.
[121] Yi Wang,et al. Quantitative MR susceptibility mapping using piece‐wise constant regularized inversion of the magnetic field , 2008, Magnetic resonance in medicine.
[122] Tian Liu,et al. Oxygen extraction fraction measurement using quantitative susceptibility mapping: Comparison with positron emission tomography , 2016, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[123] J. Reichenbach,et al. Differentiation between diamagnetic and paramagnetic cerebral lesions based on magnetic susceptibility mapping. , 2010, Medical physics.
[124] Luca Roccatagliata,et al. Multiple sclerosis: hyperintense dentate nucleus on unenhanced T1-weighted MR images is associated with the secondary progressive subtype. , 2009, Radiology.
[125] J. Broderick,et al. Volume of Intracerebral Hemorrhage: A Powerful and Easy‐to‐Use Predictor of 30‐Day Mortality , 1993, Stroke.
[126] B. Hallgren,et al. THE EFFECT OF AGE ON THE NON‐HAEMIN IRON IN THE HUMAN BRAIN , 1958, Journal of neurochemistry.
[127] Himanshu Bhat,et al. Quantitative oxygenation venography from MRI phase , 2014, Magnetic resonance in medicine.
[128] C D Marsden,et al. Alterations in the levels of iron, ferritin and other trace metals in Parkinson's disease and other neurodegenerative diseases affecting the basal ganglia. , 1991, Brain : a journal of neurology.
[129] C. A. Treaba,et al. Cerebral lesions of multiple sclerosis: is gadolinium always irreplaceable in assessing lesion activity? , 2014, Diagnostic and interventional radiology.
[130] Tao Wang,et al. Intranasal deferoxamine reverses iron-induced memory deficits and inhibits amyloidogenic APP processing in a transgenic mouse model of Alzheimer's disease , 2013, Neurobiology of Aging.
[131] P. V. van Zijl,et al. Quantitative Susceptibility Mapping Suggests Altered Brain Iron in Premanifest Huntington Disease , 2016, American Journal of Neuroradiology.
[132] J Tang,et al. Improving susceptibility mapping using a threshold‐based K‐space/image domain iterative reconstruction approach , 2013, Magnetic resonance in medicine.
[133] Margit Jehna,et al. Quantitative susceptibility mapping in multiple sclerosis. , 2013, Radiology.
[134] Won-Jin Moon,et al. Patterns of Brain Iron Accumulation in Vascular Dementia and Alzheimer's Dementia Using Quantitative Susceptibility Mapping Imaging. , 2016, Journal of Alzheimer's disease : JAD.
[135] Martin Styner,et al. Combined R2* and Diffusion Tensor Imaging Changes in the Substantia Nigra in Parkinson's Disease , 2011, Movement disorders : official journal of the Movement Disorder Society.
[136] J. Connor,et al. Iron, brain ageing and neurodegenerative disorders , 2004, Nature Reviews Neuroscience.
[137] Y Wang,et al. Magnetic Susceptibility from Quantitative Susceptibility Mapping Can Differentiate New Enhancing from Nonenhancing Multiple Sclerosis Lesions without Gadolinium Injection , 2016, American Journal of Neuroradiology.
[138] E. Haacke,et al. Quantitative susceptibility mapping: current status and future directions. , 2015, Magnetic resonance imaging.
[139] Yan Zhang,et al. Longitudinal change in magnetic susceptibility of new enhanced multiple sclerosis (MS) lesions measured on serial quantitative susceptibility mapping (QSM) , 2016, Journal of magnetic resonance imaging : JMRI.
[140] Bing Wu,et al. High-field (9.4T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility , 2011, NeuroImage.
[141] Reeti Tandon,et al. High-field Magnetic Resonance Imaging of Brain Iron in Alzheimer Disease , 2006, Topics in magnetic resonance imaging : TMRI.
[142] Keith A. Johnson,et al. Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE , 2015, Nature Communications.
[143] 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.
[144] Yi Wang,et al. Iron in Multiple Sclerosis and Its Noninvasive Imaging with Quantitative Susceptibility Mapping , 2016, International journal of molecular sciences.
[145] Chung-Ping Lo,et al. Comparison of diffusion-weighted imaging and contrast-enhanced T1-weighted imaging on a single baseline MRI for demonstrating dissemination in time in multiple sclerosis , 2014, BMC Neurology.