Quantitative Susceptibility Mapping: Concepts and Applications
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To review the fundamental principles of susceptibility-weighted imaging (SWI) and quantitative susceptibility mapping (QSM), and to discuss recent clinical developments.
SWI is a magnetic resonance imaging method that takes advantage of magnitude signal loss and phase information to reveal anatomic and physiologic information about tissue and venous vasculature. The method enhances image contrast qualitatively, relying on phase shifts due to differences in magnetic susceptibility between tissues. QSM, extending SWI in an elegant way, is a new sophisticated postprocessing technique that numerically solves the inverse source-effect problem to derive local tissue magnetic susceptibility (source) from the measured magnetic field distribution (effect) as it is reflected in the phase images of gradient-echo sequences.
SWI has meanwhile been established in numerous clinical as well as basic biomedical applications due to its ability to highlight tissue structures and compounds that are difficult to detect by conventional magnetic resonance imaging (MRI), including iron, calcifications, small veins, blood, and bones. The field of QSM has also progressed rapidly, both in terms of optimizing the post-processing strategies and algorithms as well as in gaining ground for new clinical applications that take advantage of its quantitative nature and improved specificity to identify the magnetic signature of lesions.
Though magnetic susceptibility may be a major nuisance producing image artifacts in MRI, recent work has transformed it into a useful source of image contrast. Both SWI and QSM are gaining increasing acceptance in clinical practice. In particular, QSM provides new insights into tissue composition and organization due to its more direct relation to the actual physical tissue magnetic properties.
KeywordsMagnetic resonance imaging Magnetic susceptibility Susceptibility-weighted imaging Quantitative susceptibility mapping
- 4.Haacke EM, Reichenbach JR, editors. Susceptibility weighted imaging in MRI: basic concepts and clinical applications. 1st ed. Hoboken: Wiley-Blackwell; 2011. 776 pp.Google Scholar
- 8.Liu T, Spincemaille P, de Rochefort L, Kressler B, Wang Y. Calculation of susceptibility through multiple orientation sampling (COSMOS): a method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI. Magn Reson Med. 2009;61(1):196–204.CrossRefPubMedGoogle Scholar
- 15.Deistung A, Schweser F, Wiestler B, Abello M, Roethke M, Sahm F, Wick W, Nagel AM, Heiland S, Schlemmer HP, Bendszus M, Reichenbach JR, Radbruch A. Quantitative susceptibility mapping differentiates between blood depositions and calcifications in patients with glioblastoma. PLoS One. 2013;8(3):e57924.PubMedCentralCrossRefPubMedGoogle Scholar
- 18.Blazejewska AI, Al-Radaideh AM, Wharton S, Lim SY, Bowtell RW, Constantinescu CS, Gowland PA. Increase in the iron content of the substantia nigra and red nucleus in multiple sclerosis and clinically isolated syndrome: a 7 T MRI study. J Magn Reson Imaging. 2015;41(4):1065–70.CrossRefPubMedGoogle Scholar
- 23.Wen Y, Wang Y, Liu T. Enhancing k-space quantitative susceptibility mapping by enforcing consistency on the cone data (CCD) with structural priors. Magn Reson Med. 2015. [Epub ahead of print].Google Scholar
- 26.Liu J, Xia S, Hanks RA, Wiseman NM, Peng C, Zhou S, Haacke EM, Kou Z. Susceptibility weighted imaging and mapping of micro-hemorrhages and major deep veins after traumatic brain injury. J Neurotrauma. 2015. [Epub ahead of print].Google Scholar
- 27.Li W, Long J, Watts LT, Shen Q, Duong TQ. Altered magnetic susceptibility in white matter after mild traumatic brain injury. Proc Intl Soc Mag Reson Med. 2014;22:900.Google Scholar
- 28.Sehgal V, Delproposto Z, Haddar D, Haacke EM, Sloan AE, Zamorano LJ, Barger G, Hu J, Xu Y, Prabhakaran KP, Elangovan IR, Neelavalli J, Reichenbach JR. Susceptibility-weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses. J Magn Reson Imaging. 2006;24(1):41–51.CrossRefPubMedGoogle Scholar
- 35.Plyavin YA, Blum EY. Magnetic parameters of blood cells and high-gradient paramagnetic and diamagnetic phoresis. Magnetohydrodynamics. 1983;19:349–59.Google Scholar