ArticleMagnetic resonance in medicine2018
The effect of realistic geometries on the susceptibility-weighted MR signal in white matter.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- A Realistic In Silico Brain Phantom for Quantifying Susceptibility Anisotropy-Induced Error in Susceptibility Separation.Magnetic resonance in medicine · 2026Article
- Field Strength-Dependent White Matter RMagnetic resonance in medicine · 2026Article
- Axonal microstructure and compartmentalization impact the orientation and time dependence of mesoscopic transverse relaxation.Scientific reports · 2026Article
- Multi-modal Monte Carlo MRI simulator of tissue microstructure.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Microstructure-Informed Myelin Mapping (MIMM) from routine multi-echo gradient echo data using multiscale physics modeling of iron and myelin effects and QSM.Magnetic resonance in medicine · 2025Article
- Predicting Mesoscopic Larmor Frequency Shifts in White Matter With Diffusion MRI-A Monte Carlo Study in Axonal Phantoms.NMR in biomedicine · 2025Article
- Susceptibility-induced internal gradients reveal axon morphology and cause anisotropic effects in the diffusion-weighted MRI signal.Scientific reports · 2024Article
- Exploiting gradient-echo frequency evolution: Probing white matter microstructure and extracting bulk susceptibility-induced frequency for quantitative susceptibility mapping.Magnetic resonance in medicine · 2024Article
- Fiber-orientation independent component of RFrontiers in neuroscience · 2023Article
- 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
- Improved magnetic resonance myelin water imaging using multi-channel denoising convolutional neural networks (MCDnCNN).Quantitative imaging in medicine and surgery · 2022Article
- Quantifying myelin in crossing fibers using diffusion-prepared phase imaging: Theory and simulations.Magnetic resonance in medicine · 2021Article
- Review
- Realistic Microstructure Simulator (RMS): Monte Carlo simulations of diffusion in three-dimensional cell segmentations of microscopy images.Journal of neuroscience methods · 2021Article
- Multi-compartment analysis of the complex gradient-echo signal quantifies myelin breakdown in premanifest Huntington's disease.NeuroImage. Clinical · 2021Article
- ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation.NeuroImage · 2020Article
- A time-dependent diffusion MRI signature of axon caliber variations and beading.Communications biology · 2020Article
- Influence of 7T GRE-MRI Signal Compartment Model Choice on Tissue Parameters.Frontiers in neuroscience · 2020Article
- A Physical Perspective to the Inductive Function of Myelin-A Missing Piece of Neuroscience.Frontiers in neural circuits · 2020Review
- The effects of variations in tissue microstructure from postmortem rat brain on the asymmetry of the water proton resonance.Magnetic resonance in medicine · 2019Article
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5 authors.
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Abstract
purposeTo investigate the effect of realistic microstructural geometry on the susceptibility-weighted MR signal in white matter (WM), with application to demyelination.
methodsPrevious work has modeled susceptibility-weighted signals under the assumption that axons are cylindrical. In this study, we explored the implications of this assumption by considering the effect of more realistic geometries. A three-compartment WM model incorporating relevant properties based on the literature was used to predict the MR signal. Myelinated axons were modeled with several cross-sectional geometries of increasing realism: nested circles, warped/elliptical circles, and measured axonal geometries from electron micrographs. Signal simulations from the different microstructural geometries were compared with measured signals from a cuprizone mouse model with varying degrees of demyelination.
resultsSimulation results suggest that axonal geometry affects the MR signal. Predictions with realistic models were significantly different compared with circular models under the same microstructural tissue properties, for simulations with and without diffusion.
conclusionThe geometry of axons affects the MR signal significantly. Literature estimates of myelin susceptibility, which are based on fitting biophysical models to the MR signal, are likely to be biased by the assumed geometry, as will any derived microstructural properties. Magn Reson Med 79:489-500, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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