2016
DOI: 10.1002/nbm.3569
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Overview of quantitative susceptibility mapping

Abstract: Magnetic susceptibility describes the magnetizability of a material to an applied magnetic field and represents an important parameter in the field of MRI. With the recently introduced method of quantitative susceptibility mapping (QSM) and its conceptual extension to susceptibility tensor imaging (STI), the non-invasive assessment of this important physical quantity has become possible with MRI. Both methods solve the ill-posed inverse problem to determine the magnetic susceptibility from local magnetic field… Show more

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Cited by 251 publications
(263 citation statements)
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References 277 publications
(386 reference statements)
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“…The optimization problem for QSM in literature has become converged to a MEDI type Bayesian formation : χ*=argminχ12true|true|w(eifei(d*χ))true|true|22+λ1normalMnormalGχ1, with χ the susceptibility map, * the convolution operation, w the noise weighting, f the measured local field, the gradient operator and normalMnormalG the binary edge mask derived from the magnitude image . d is the dipole kernel that can be defined in both Fourier and spatial domains: d=FT[13kz2k2]=14π3cos2(θ)1r3, where r is the magnitude of position vector bold-italicr from the dipole source to the field observer, k is the magnitude of the corresponding Fourier vector bold-italick in k‐space.…”
Section: Theorymentioning
confidence: 99%
“…The optimization problem for QSM in literature has become converged to a MEDI type Bayesian formation : χ*=argminχ12true|true|w(eifei(d*χ))true|true|22+λ1normalMnormalGχ1, with χ the susceptibility map, * the convolution operation, w the noise weighting, f the measured local field, the gradient operator and normalMnormalG the binary edge mask derived from the magnitude image . d is the dipole kernel that can be defined in both Fourier and spatial domains: d=FT[13kz2k2]=14π3cos2(θ)1r3, where r is the magnitude of position vector bold-italicr from the dipole source to the field observer, k is the magnitude of the corresponding Fourier vector bold-italick in k‐space.…”
Section: Theorymentioning
confidence: 99%
“…However, hypointensity in T 2 *‐weighted GRE magnitude images is known to overestimate hematoma volume, as these images suffer from susceptibility artifacts that are highly dependent on imaging parameters, such as field strength, voxel size, and echo time. In contrast, QSM based on GRE phase data can provide an accurate measurement of the hemorrhage volumes by removing blooming artifacts inherent in traditional T 2 *‐weighted imaging . QSM offers excellent image contrast by computing the spatial distribution of the underlying source of the phase contrast, ie, magnetic susceptibility .…”
mentioning
confidence: 99%
“…Quantitative susceptibility mapping (QSM) is an emerging magnetic resonance imaging (MRI) postprocessing technique, which allows quantification of the spatial distribution of tissue magnetic susceptibility in vivo . Major sources of magnetic susceptibility in vivo include iron, blood products, calcium, myelin, and lipid content .…”
mentioning
confidence: 99%
“…Currently, there is an increasing number of research and clinical applications for QSM, including the assessment of cerebral microbleeds, other hemorrhages, cavernous malformations, and iron content in the deep gray matter structures . In particular, iron accumulation in the brain has been associated with neurological diseases such as Parkinson's disease and multiple sclerosis, as well as with aging .…”
mentioning
confidence: 99%