The influence of brain iron and myelin on magnetic susceptibility and effective transverse relaxation - A biochemical and histological validation study
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Siegfried Trattnig | Xiang Feng | Simon Robinson | Thomas Haider | Christian Menard | Jürgen R. Reichenbach | Simon Hametner | Verena Endmayr | Andreas Deistung | Pilar Palmrich | Max Prihoda | Evelin Haimburger | Marianne Leisser | Ulrike Köck | Alexandra Kaider | Romana Höftberger | Hans Lassmann | Hannes Traxler | Günther Grabner | J. Reichenbach | A. Kaider | H. Lassmann | H. Traxler | A. Deistung | S. Trattnig | G. Grabner | S. Hametner | T. Haider | R. Höftberger | Xiang Feng | V. Endmayr | P. Palmrich | Ulrike Köck | Evelin Haimburger | M. Leisser | S. Robinson | Max Prihoda | Christian Menard | Pilar Palmrich
[1] Jeff H. Duyn,et al. 7 Tesla Magnetic Resonance Imaging to Detect Cortical Pathology in Multiple Sclerosis , 2014, PloS one.
[2] Christian Langkammer,et al. Effects of concentration and vendor specific composition of formalin on postmortem MRI of the human brain , 2018, Magnetic resonance in medicine.
[3] Christian Langkammer,et al. Susceptibility induced gray–white matter MRI contrast in the human brain , 2012, NeuroImage.
[4] J. Reichenbach,et al. Magnetic susceptibility-weighted MR phase imaging of the human brain. , 2005, AJNR. American journal of neuroradiology.
[5] Zang-Hee Cho,et al. Origin of B0 orientation dependent R2 * (=1/T2 *) in white matter , 2013, NeuroImage.
[6] Christian Kames,et al. Rapid two-step dipole inversion for susceptibility mapping with sparsity priors , 2018, NeuroImage.
[7] Susumu Mori,et al. Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: Application to determine iron content in deep gray matter structures , 2013, NeuroImage.
[8] Jeff H. Duyn,et al. T2*-based fiber orientation mapping , 2011, NeuroImage.
[9] Ferdinand Schweser,et al. Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study , 2012, NeuroImage.
[10] A. Ruifrok,et al. Quantification of histochemical staining by color deconvolution. , 2001, Analytical and quantitative cytology and histology.
[11] J. Duyn,et al. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data , 2009, Magnetic resonance in medicine.
[12] Anthony Traboulsee,et al. Orientation Dependent MR Signal Decay Differentiates between People with MS, Their Asymptomatic Siblings and Unrelated Healthy Controls , 2015, PloS one.
[13] Ferdinand Schweser,et al. A comprehensive numerical analysis of background phase correction with V‐SHARP , 2017, NMR in biomedicine.
[14] Guo Yong,et al. Pathogenic implications of distinct patterns of iron and zinc in chronic MS lesions , 2017, Acta Neuropathologica.
[15] S. T. Govindarajan,et al. Heterogeneous pathological processes account for thalamic degeneration in multiple sclerosis: Insights from 7 T imaging , 2018, Multiple sclerosis.
[16] C Langkammer,et al. Thalamic Iron Differentiates Primary-Progressive and Relapsing-Remitting Multiple Sclerosis , 2017, American Journal of Neuroradiology.
[17] Tobias Kober,et al. MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field , 2010, NeuroImage.
[18] Woojin Jung,et al. An R2* model of white matter for fiber orientation and myelin concentration , 2017, NeuroImage.
[19] Frédérique Frouin,et al. An improved FSL-FIRST pipeline for subcortical gray matter segmentation to study abnormal brain anatomy using quantitative susceptibility mapping (QSM). , 2017, Magnetic resonance imaging.
[20] Piotr Kozlowski,et al. Myelin water imaging of multiple sclerosis at 7 T: Correlations with histopathology , 2008, NeuroImage.
[21] Ferdinand Schweser,et al. Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain , 2012, NeuroImage.
[22] M. Fukunaga,et al. Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast , 2010, Proceedings of the National Academy of Sciences.
[23] Simon Hametner,et al. Iron and neurodegeneration in the multiple sclerosis brain , 2013, Annals of neurology.
[24] J. Schenck,et al. Health and Physiological Effects of Human Exposure to Whole‐Body Four‐Tesla Magnetic Fields during MRI , 1992, Annals of the New York Academy of Sciences.
[25] Jeff H. Duyn,et al. Susceptibility contrast in high field MRI of human brain as a function of tissue iron content , 2009, NeuroImage.
[26] G. Mangeat,et al. Multivariate combination of magnetization transfer, T2* and B0 orientation to study the myelo-architecture of the in vivo human cortex , 2015, NeuroImage.
[27] B. Halliwell,et al. Biologically relevant metal ion‐dependent hydroxyl radical generation An update , 1992, FEBS letters.
[28] Saifeng Liu,et al. Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging , 2013, NeuroImage.
[29] J. Connor,et al. Iron, brain ageing and neurodegenerative disorders , 2004, Nature Reviews Neuroscience.
[30] A. MacKay,et al. The influence of white matter fibre orientation on MR signal phase and decay , 2011, NMR in biomedicine.
[31] Bing Wu,et al. Fast and tissue-optimized mapping of magnetic susceptibility and T2* with multi-echo and multi-shot spirals , 2012, NeuroImage.
[32] David H. Miller,et al. Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain , 2004, Annals of neurology.
[33] Francesca Baglio,et al. Serum iron concentration is associated with subcortical deep gray matter iron levels in multiple sclerosis patients , 2017, Neuroreport.
[34] Christian Langkammer,et al. Iron and Neurodegeneration in Multiple Sclerosis , 2011, Multiple sclerosis international.
[35] Aaron J. Miller,et al. The use of power images to perform quantitative analysis on low SNR MR images. , 1993, Magnetic resonance imaging.
[36] Anthony Traboulsee,et al. Susceptibility‐sensitive MRI of multiple sclerosis lesions and the impact of normal‐appearing white matter changes , 2017, NMR in biomedicine.
[37] Robert Zivadinov,et al. Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality , 2018, NeuroImage.
[38] W. Fish,et al. Rapid colorimetric micromethod for the quantitation of complexed iron in biological samples. , 1988, Methods in enzymology.
[39] D. Yablonskiy,et al. Biophysical mechanisms of phase contrast in gradient echo MRI , 2009, Proceedings of the National Academy of Sciences.
[40] Simon Hametner,et al. Multiple sclerosis deep grey matter: the relation between demyelination, neurodegeneration, inflammation and iron , 2014, Journal of Neurology, Neurosurgery & Psychiatry.
[41] D. Reis,et al. Quantitative immunocytochemistry of tyrosine hydroxylase in rat brain. I. Development of a computer assisted method using the peroxidase-antiperoxidase technique , 1982, Brain Research.
[42] Harry V. Vinters,et al. The effect of formalin fixation on the levels of brain transition metals in archived samples , 2010, BioMetals.
[43] Jeff H. Duyn,et al. Studying brain microstructure with magnetic susceptibility contrast at high-field , 2017, NeuroImage.
[44] B. Todorich,et al. Oligodendrocytes and myelination: The role of iron , 2009, Glia.
[45] S. T. Govindarajan,et al. A gradient in cortical pathology in multiple sclerosis by in vivo quantitative 7 T imaging. , 2015, Brain : a journal of neurology.
[46] S. Ropele,et al. Quantitative MR imaging of brain iron: a postmortem validation study. , 2010, Radiology.
[47] Piotr Kozlowski,et al. Diffusely Abnormal White Matter in Multiple Sclerosis: Further Histologic Studies Provide Evidence for a Primary Lipid Abnormality With Neurodegeneration , 2013, Journal of neuropathology and experimental neurology.
[48] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[49] Margit Jehna,et al. Quantitative susceptibility mapping in multiple sclerosis. , 2013, Radiology.
[50] 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.
[51] Dmitriy A. Yablonskiy,et al. Effects of biological tissue structural anisotropy and anisotropy of magnetic susceptibility on the gradient echo MRI signal phase: theoretical background , 2017, NMR in biomedicine.
[52] 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.
[53] Reiko Meguro,et al. Nonheme-iron histochemistry for light and electron microscopy: a historical, theoretical and technical review. , 2007, Archives of histology and cytology.
[54] C. Morris,et al. Histochemical distribution of non-haem iron in the human brain. , 1992, Acta anatomica.
[55] Richard Bowtell,et al. T2* measurements in human brain at 1.5, 3 and 7 T. , 2007, Magnetic resonance imaging.
[56] B. Hallgren,et al. THE EFFECT OF AGE ON THE NON‐HAEMIN IRON IN THE HUMAN BRAIN , 1958, Journal of neurochemistry.
[57] Wolfgang Bogner,et al. Combining phase images from array coils using a short echo time reference scan (COMPOSER) , 2015, Magnetic resonance in medicine.
[58] Jeff H Duyn,et al. The role of iron in brain ageing and neurodegenerative disorders , 2014, The Lancet Neurology.
[59] Bing Wu,et al. Magnetic susceptibility anisotropy of human brain in vivo and its molecular underpinnings , 2012, NeuroImage.
[60] Chunlei Liu,et al. Whole brain susceptibility mapping using compressed sensing , 2012, Magnetic resonance in medicine.
[61] M. Smith,et al. An unbiased signal-to-noise ratio measure for magnetic resonance images. , 1993, Medical physics.
[62] Li Guo,et al. Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge , 2017, Magnetic resonance in medicine.
[63] Christian Enzinger,et al. Dynamics of brain iron levels in multiple sclerosis , 2015, Neurology.
[64] Mauro Costagli,et al. The impact of white matter fiber orientation in single‐acquisition quantitative susceptibility mapping , 2017, NMR in biomedicine.
[65] Robert Turner,et al. Myelin and iron concentration in the human brain: A quantitative study of MRI contrast , 2014, NeuroImage.
[66] Johannes E. Schindelin,et al. Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.
[67] Yu-Chung N. Cheng,et al. Susceptibility weighted imaging (SWI) , 2004, Zeitschrift fur medizinische Physik.
[68] Jian-Qiang Lu,et al. Validation of quantitative susceptibility mapping with Perls' iron staining for subcortical gray matter , 2015, NeuroImage.
[69] Dana Cobzas,et al. Subcortical gray matter segmentation and voxel‐based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis , 2015, Journal of magnetic resonance imaging : JMRI.