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Cited by 498

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map

Open access
Liu, Jing, Liu, Tian, de Rochefort, Ludovic, Ledoux, James, Khalidov, Ildar, Chen, Weiwei, Tsiouris, A. John, Wisnieff, Cynthia, Spincemaille, Pascal, Prince, Martin R., Wang, Yi·2012·NeuroImage
DOI 10.1016/j.neuroimage.2011.08.082
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Abstract

The magnetic susceptibility of tissue can be determined in gradient echo MRI by deconvolving the local magnetic field with the magnetic field generated by a unit dipole. This Quantitative Susceptibility Mapping (QSM) problem is unfortunately ill-posed. By transforming the problem to the Fourier domain, the susceptibility appears to be undersampled only at points where the dipole kernel is zero, suggesting that a modest amount of additional information may be sufficient for uniquely resolving susceptibility. 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. Specifically, voxels that are part of edges in the susceptibility map but not in the edges of the magnitude image are considered to be sparse. In this approach an L1 norm minimization is used to express this sparsity property. Numerical simulations and phantom experiments are performed to demonstrate the superiority of this L1 minimization approach over the previous L2 minimization method. Preliminary brain imaging results in healthy subjects and in patients with intracerebral hemorrhages illustrate that QSM is feasible in practice.

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Metadata

Authors
Liu, J., Liu, T., de Rochefort, L., Ledoux, J., Khalidov, I., Chen, W., Tsiouris, A. J., Wisnieff, C., Spincemaille, P., Prince, M. R., & Wang, Y.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2012-02
Volume
59
Issue
3
Pages
2560-2568
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2011.08.082
OpenAlex
W1986728683
Cited by
498
References
40
FWCI
14.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. https://app.cochat.ai/papers/10.1016/j.neuroimage.2011.08.082
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Liu, J., Liu, T., de Rochefort, L., Ledoux, J., Khalidov, I., Chen, W., Tsiouris, A. J., Wisnieff, C., Spincemaille, P., Prince, M. R., & Wang, Y. (2012). Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. NeuroImage. https://doi.org/10.1016/j.neuroimage.2011.08.082

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