Title | Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. |
Publication Type | Journal Article |
Year of Publication | 2012 |
Authors | Liu J, Liu T, de Rochefort L, Ledoux J, Khalidov I, Chen W, A Tsiouris J, Wisnieff C, Spincemaille P, Prince MR, Wang Y |
Journal | Neuroimage |
Volume | 59 |
Issue | 3 |
Pagination | 2560-8 |
Date Published | 2012 Feb 01 |
ISSN | 1095-9572 |
Keywords | Adult, Algorithms, Brain Injuries, Brain Mapping, Computer Simulation, Echo-Planar Imaging, Electromagnetic Fields, Fourier Analysis, Humans, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Intracranial Hemorrhages, Phantoms, Imaging, Reproducibility of Results |
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. |
DOI | 10.1016/j.neuroimage.2011.08.082 |
Alternate Journal | Neuroimage |
PubMed ID | 21925276 |
PubMed Central ID | PMC3254812 |
Grant List | R01 NS072370 / NS / NINDS NIH HHS / United States T35 EB006732-05 / EB / NIBIB NIH HHS / United States T35 EB006732 / EB / NIBIB NIH HHS / United States R01 EB013443-01 / EB / NIBIB NIH HHS / United States R01 NS072370-01A1 / NS / NINDS NIH HHS / United States R01 EB013443 / EB / NIBIB NIH HHS / United States |
Related Institute:
MRI Research Institute (MRIRI)