Quantitative Susceptibility Mapping of Human Brain Reflects Spatial Variation in Tissue Composition
By Wei Li, Bing Wu, Chunlei Liu. NeuroImage, 2011
653 citations recorded by the source corpus.
Image phase from gradient echo MRI provides a unique contrast that reflects brain tissue composition variations, such as iron and myelin distribution. Phase imaging is emerging as a powerful tool for the investigation of functional brain anatomy and disease diagnosis. However, the quantitative value of phase is compromised by its nonlocal and orientation dependent properties. There is an increasing need for reliable quantification of magnetic susceptibility, the intrinsic property of tissue. In this study, we developed a novel and accurate susceptibility mapping method that is also phase-wrap insensitive. The proposed susceptibility mapping method utilized two complementary equations: (1) the Fourier relationship of phase and magnetic susceptibility; and (2) the first-order partial derivative of the first equation in the spatial frequency domain. In numerical simulation, this method reconstructed the susceptibility map almost free of streaking artifact. Further, the iterative implementation of this method allowed for high quality reconstruction of susceptibility maps of human brain in vivo. The reconstructed susceptibility map provided excellent contrast of iron-rich deep nuclei and white matter bundles from surrounding tissues. Further, it also revealed anisotropic magnetic susceptibility in brain white matter. Hence, the proposed susceptibility mapping method may provide a powerful tool for the study of brain physiology and pathophysiology. Further elucidation of anisotropic magnetic susceptibility in vivo may allow us to gain more insight into the white matter microarchitectures.
Subfields: Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/5fc00f1abff5bbea5b641de4e36bb90710e7275e
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In Radiology, Nuclear Medicine and Imaging
- Berkin Bilgic
- Adolf Pfefferbaum
- Edith V. Sullivan
- Tian Liu
- Elfar Adalsteinsson
- Robert Turner
- Torsten Rohlfing
- Chunlei Liu
Citations in the corpus
- Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping (2013, methodology): “5c,h may be eliminated in minimum-norm based spatial unwrapping methods (1,36,37).”
- MRI Estimates of Brain Iron Concentration in Normal Aging Using Quantitative Susceptibility Mapping (2011, background): “Under the assumption that the field map and the susceptibility distribution are differentiable along kz, Li et al. (2011) derived that the convolution kernel equals −2/3 at k =0.”
- Integrated Laplacian-based phase unwrapping and background phase removal for quantitative susceptibility mapping (2013, methodology): “Eventually, the background removed phase was calculated using Equation [6], followed by zero filling areas outside the brain.”
- Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study (2012, neutral): “In addition, substances such as blood and contributions from calcium and trace elements, have also been found to affect the magnetic susceptibility of tissue (Mitsumori et al., 2009; Schweser et al., 2011; Sedlacik et al., 2007; Shmueli et al., 2011; Yamada et al., 1996).”
- Myelin and iron concentration in the human brain: A quantitative study of MRI contrast (2014, background): “Recently the main focus has shifted to susceptibility 179 weighted imaging ( Q13 Duyn, 2010; Li et al., 2011; Yao et al., 2009 ) and 180 thence to quantitative susceptibility mapping (QSM), which is better 181 able to visualize the iron distribution in brain tissue (Langkammer 182 et al., 2012; Q14…”