Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging.
Ludovic de Rochefort,Tian Liu,Bryan Kressler,Jing Liu,Pascal Spincemaille,Vincent Lebon,Jianlin Wu,Yi Wang +7 more
TLDR
A bayesian regularization approach that adds spatial priors from the MR magnitude image is formulated for susceptibility imaging, introducing a new quantitative contrast in MRI that is directly linked to iron in the brain.Abstract:
The diagnosis of many neurologic diseases benefits from the ability to quantitatively assess iron in the brain. Paramagnetic iron modifies the magnetic susceptibility causing magnetic field inhomogeneity in MRI. The local field can be mapped using the MR signal phase, which is discarded in a typical image reconstruction. The calculation of the susceptibility from the measured magnetic field is an ill-posed inverse problem. In this work, a bayesian regularization approach that adds spatial priors from the MR magnitude image is formulated for susceptibility imaging. Priors include background regions of known zero susceptibility and edge information from the magnitude image. Simulation and phantom validation experiments demonstrated accurate susceptibility maps free of artifacts. The ability to characterize iron content in brain hemorrhage was demonstrated on patients with cavernous hemangioma. Additionally, multiple structures within the brain can be clearly visualized and characterized. The technique introduces a new quantitative contrast in MRI that is directly linked to iron in the brain.read more
Citations
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Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism?
TL;DR: The findings suggest that susceptibility contrast, and therewith also phase contrast, are not only linked to the storage iron concentration but are also significantly influenced by other sources such as myelin, and caution should be exercised when drawing conclusions about iron concentrations when directly assessing processed phase information.
Journal ArticleDOI
Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.
Yi Wang,Tian-Yu Liu +1 more
TL;DR: This paper attempts to summarize the basic physical concepts and essential algorithmic steps in QSM, to describe clinical and technical issues under active development, and to provide references, codes, and testing data for readers interested inQSM.
Journal ArticleDOI
Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition.
Wei Li,Bing Wu,Chunlei Liu +2 more
TL;DR: A novel and accurate susceptibility mapping method that is also phase-wrap insensitive is developed and revealed anisotropic magnetic susceptibility in brain white matter in vivo.
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Morphology Enabled Dipole Inversion for Quantitative Susceptibility Mapping Using Structural Consistency Between the Magnitude Image and the Susceptibility Map
Jing Liu,Tian Liu,Ludovic de Rochefort,James Robert Ledoux,Ildar Khalidov,Weiwei Chen,A. John Tsiouris,Cynthia Wisnieff,Pascal Spincemaille,Martin R. Prince,Yi Wang,Yi Wang +11 more
TL;DR: A Morphology Enabled Dipole Inversion (MEDI) approach is developed that exploits the structural consistency between the susceptibility map and the magnitude image reconstructed from the same gradient echo MRI, and demonstrates that QSM is feasible in practice.
Journal ArticleDOI
MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping.
Berkin Bilgic,Adolf Pfefferbaum,Adolf Pfefferbaum,Torsten Rohlfing,Edith V. Sullivan,Elfar Adalsteinsson +5 more
TL;DR: The robustness, practicality, and demonstrated ability of predicting the change in iron deposition in adult aging suggest that regularized QSM algorithms using single-field-strength data are possible alternatives to tissue iron estimation requiring two field strengths.
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