The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition
Open accessAbstract
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.
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Cites
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Susceptibility weighted imaging (SWI)
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Imaging iron stores in the brain using magnetic resonance imaging
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Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Part 2
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Cited by
Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker
Wang, Y., & Liu, T. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25358 · Cited by 878
Langkammer, C., Schweser, F., Krebs, N., Deistung, A., Goessler, W., Scheurer, E., Sommer, K., Reishofer, G., Yen, K., Fazekas, F., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.049 · Cited by 801
Myelin and iron concentration in the human brain: a quantitative study of MRI contrast
Stüber, C., Morawski, M., Schäfer, A., Labadie, C., Wähnert, M., Leuze, C., Streicher, M., Barapatre, N., Reimann, K., Geyer, S., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.02.026 · Cited by 635
Pros and cons of ultra-high-field MRI/MRS for human application
Ladd, M. E., Bachert, P., Meyerspeer, M., Moser, E., Nagel, A. M., Norris, D. G., Schmitter, S., Speck, O., Straub, S., & Zaiss, M. (2018) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2018.06.001 · Cited by 544
Quantitative susceptibility mapping: current status and future directions
Haacke, E. M., Liu, S., Buch, S., Zheng, W., Wu, D., & Ye, Y. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2014.09.004 · Cited by 511
Metadata
- Authors
- Li, W., Wu, B., & Liu, C.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 55
- Issue
- 4
- Pages
- 1645-1656
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2112587190
- Cited by
- 624
- References
- 32
- FWCI
- 21.83
- Type
- journal article
- Language
- en
- Open access
- green
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