ReviewNMR in biomedicine2017
Effects of biological tissue structural anisotropy and anisotropy of magnetic susceptibility on the gradient echo MRI signal phase: theoretical background.
Review in NMR in biomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
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- Oxygen extraction fraction is differentially associated with pathological biomarkers in Alzheimer's disease and non-Alzheimer's dementias.Frontiers in neuroscience · 2026Article
- Comparison of three magnetic resonance imaging measures of brain iron in healthy and cocaine use disorder participants.NMR in biomedicine · 2024Article
- Comparison of three magnetic resonance imaging measures of brain iron in healthy and cocaine use disorder participants.NMR in biomedicine · 2024Article
- Imaging white matter microstructure with gradient-echo phase imaging: Is ex vivo imaging with formalin-fixed tissue a good approximation of the in vivo brain?Magnetic resonance in medicine · 2022Article
- Learn Less, Infer More: Learning in the Fourier Domain for Quantitative Susceptibility Mapping.Frontiers in neuroscience · 2022Article
- Quantifying myelin in crossing fibers using diffusion-prepared phase imaging: Theory and simulations.Magnetic resonance in medicine · 2021Article
- Single-step calculation of susceptibility through multiple orientation sampling.NMR in biomedicine · 2021Article
- Quantitative Susceptibility Mapping: MRI at 7T versus 3T.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020Article
- Automated adaptive preconditioner for quantitative susceptibility mapping.Magnetic resonance in medicine · 2020Article
- Substantia Nigra Volume Dissociates Bradykinesia and Rigidity from Tremor in Parkinson's Disease: A 7 Tesla Imaging Study.Journal of Parkinson's disease · 2020Article
- Biophysically motivated efficient estimation of the spatially isotropicMagnetic resonance in medicine · 2019Article
- Lorentzian effects in magnetic susceptibility mapping of anisotropic biological tissues.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2018Review
- Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge.Magnetic resonance in medicine · 2018Article
- MRI-Based Quantification of Magnetic Susceptibility in Gel Phantoms: Assessment of Measurement and Calculation Accuracy.Radiology research and practice · 2018Article
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Abstract
Quantitative susceptibility mapping is a potentially powerful technique for mapping tissue magnetic susceptibility from gradient recalled echo (GRE) MRI signal phase. In this review, we present up-to-date theoretical developments in analyzing the relationships between GRE signal phase and the underlying tissue microstructure and magnetic susceptibility at the cellular level. Two important phenomena contributing to the GRE signal phase are at the focus of this review - tissue structural anisotropy (e.g. cylindrical axonal bundles in white matter) and magnetic susceptibility anisotropy. One of the most intriguing and challenging problems in this field is calculating the so-called Lorentzian contribution to the phase shift induced by the local environment - magnetized tissue structures that have dimensions smaller than the imaging voxel (e.g. cells, cellular components, blood capillaries). In this review, we briefly discuss a "standard" approach to this problem, based on introduction of an imaginary Lorentzian cavity, as well as a more recent method - the generalized Lorentzian tensor approach (GLTA) - that is based on a statistical approach and a direct solution of the magnetostatic Maxwell equations. The latter adequately accounts for both types of anisotropy: the anisotropy of magnetic susceptibility and the structural tissue anisotropy. In the GLTA the frequency shift due to the local environment is characterized by the Lorentzian tensor L^, which has a substantially different structure than the susceptibility tensor χ^. While the components of χ^ are compartmental susceptibilities "weighted" by their volume fractions, the components of L^ are weighted by specific numerical factors depending on tissue geometrical microsymmetry. In multi-compartment structures, the components of the Lorentzian tensor also depend on the compartmental relaxation properties, hence the MR pulse sequence settings. Copyright © 2016 John Wiley & Sons, Ltd.
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