Imaging iron stores in the brain using magnetic resonance imaging.

By E. Haacke, Norman Y.C. Cheng, M. House, Qiang Liu, J. Neelavalli, R. Ogg, Asadullah Khan, Muhammad Ayaz, W. Kirsch, A. Obenaus. Magnetic Resonance Imaging, 2005

1,034 citations recorded by the source corpus.

Subfields: Molecular Biology, Nutrition and Dietetics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5401e7b2fce2d52c0da34fa83990bc2726f114f2

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Citations in the corpus

An integrative model for neuronal activity-induced signal changes for gradient and spin echo functional imaging (2009, neutral): “…2004; Cremillieux et al., 1998; de Graaf et al., 2006; Deistung et al., 2008; Duong et al., 2002, 2003; Gati et al., 1997; Grabill et al., 2003; Haacke et al., 2005; Jin et al., 2006; Jochimsen et al., 2004; Keilholz et al., 2006; Lee et al., 1999, 2002; Li et al., 2006; Lu et al., 2007; Lu…”
Integrated Laplacian-based phase unwrapping and background phase removal for quantitative susceptibility mapping (2013, methodology): “This compensation is achieved using the spherical mean kernel in Equation [3] to ensure a consistent distribution of Laplacian throughout the FOV.”
MRI Estimates of Brain Iron Concentration in Normal Aging Using Quantitative Susceptibility Mapping (2011, methodology): “…to infer iron concentration, MRI signal phase has also been proposed as a source signal for iron mapping, both by direct evaluation of phase images (Haacke et al., 2005a; Haacke et al., 2004) and by reconstruction of magnetic susceptibility images that derive from the phase data (Haacke et al.,…”
Quantitative Susceptibility Mapping of Human Brain Reflects Spatial Variation in Tissue Composition (2011, background): “In addition to ferritin, changes in magnetic susceptibility due to accumulation of hemosidersin, degradation product of ferritin, can also reflect iron overload and hemorrhage (Bizzi et al., 1990; Haacke et al., 2005).”
Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: Validation and application to brain imaging (2010, methodology): “Considering the gaussian nature of noise in the MR signal, the maximum likelihood solution for the susceptibility map can be derived from the following quadratic minimization: min X CX d k k(2)2: [6]”
Quantitative Susceptibility Mapping (QSM): Decoding MRI Data for a Tissue Magnetic Biomarker (2014, methodology): “[9] can be solved as bt 1⁄4 r (2)MV0 r(2)b ð Þ: r 2 1⁄4 jkj l 1⁄2 2pjkj ð Þ2, using truncated singular value decomposition (TSVD) (with a carefully chosen truncation value l)”
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, methodology): “[6] and the condition number was calculated according to Eq.”
Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Part 1 (2008, methodology): “This set the stage for discovering other aspects of susceptibility imaging and even hinted at the future direction of susceptibility mapping.(26) We began to see different types of contrast in the SWI filtered phase images for different diseases.”
Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study (2012, positive): “…respect to magnetic tissue properties than conventional magnitude-based techniques such as mapping transverse relaxation rates (Aquino et al., 2009; Haacke et al., 2005; Langkammer et al., NeuroImage 62 (2012) 1593–1599 Abbreviations: GRE, gradient recalled echo; HEIDI, homogeneity enabled…”
Myelin and iron concentration in the human brain: A quantitative study of MRI contrast (2014, background): “There are several potential factors determining R2* that can vary between fiber bundles, including iron content (Haacke et al., 2005), myelin content and structure, and the fiber direction relative to the main magnetic field (Chappell et al.”
Susceptibility Contrast in High Field MRI of Human Brain as a Function of Tissue Iron Content (2008, background): “This is an area of active research in this and other laboratories (Haacke et al., 2005; Marques and Bowtell, 2005; Shmueli et al., 2008).”
Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: An approach to in vivo brain iron metabolism? (2011, background): “Increased iron accumulations have also been detected in the vicinity of chronic hemorrhage, cerebral infarction, anemia, thalassemia, hemochromatosis, and Hallervorden-Spatz syndrome (Haacke et al., 2005).”
Morphology Enabled Dipole Inversion for Quantitative Susceptibility Mapping Using Structural Consistency Between the Magnitude Image and the Susceptibility Map (2011, neutral): “…the dipole kernel, viewed in the Fourier domain, is zero on a double cone surface that makes a 54.7° angle with the z axis; at each location on this surface, the susceptibility in the Fourier domain can be arbitrarily changed while still producing the same magnetic field (Haacke et al., 2005).”
Principles, techniques, and applications of T2*-based MR imaging and its special applications. (2009, background): “More recently, researchers have shown that changes in iron content of the brain can be monitored by using SW fi ltered phase images (25,26).”
Toward in vivo histology: A comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2⁎-imaging at ultra-high magnetic field strength (2013, positive): “Although iron and myelin are the main sources of the magnetic susceptibility and R2⁎ contrast in vivo, variation in water content (bound or unbound) also affects tissue's R2 (Haacke et al., 2005; Lüsse et al., 1995; Whittall et al., 1997) and, hence, R2⁎ and it may also influence the magnetic suscep”
Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Part 2 (2008, neutral): “Neurodegenerative Disorders It is well documented that iron content in the brain increases with age, particularly in the basal ganglia, and that abnormal levels of iron in the central nervous system (CNS) are seen in various neurodegenerative diseases.(32,33) In fact, increased iron deposition occur”