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Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Parts 1 and 2 - AJNR News Digest
May 2015
Physics Review

Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications, Parts 1 and 2

Mark E. Haacke

E. Mark Haacke

The development of susceptibility-weighted imaging (SWI) began in the mid-1990s, just following the advent of blood oxygen saturation imaging. Our group had been involved in the early brain/vein debate, that the veins played the critical role in visualizing information on brain function,1 not diffusion. We set out to demonstrate this and in the process found ourselves creating very high-resolution susceptibility maps of the brain and veins in the days when people were using fairly low-resolution echo-planar scanning approaches. This led us to introducing “phase” as a means to map susceptibility,2 and this first paper preceded the initial concept of susceptibility mapping.1 When we realized that the phase could be high-pass-filtered to reveal regions of high levels of deoxyhemoglobin and high iron content, we also sought to use that information to enhance the usual magnitude images but without insisting that the radiologist had to understand phase per se, but rather incorporate the information into a new type of magnitude image.3  Thus, the enhanced-contrast SWI method was born.

Initially, SWI was thought best to be used to study cerebral venous anomalies such as telangiectasias or developmental venous anomalies, as well as imaging microbleeds. Both of these are imaged exquisitely well with SWI. However, since the original 1997 paper, more than 1000 citations exist for the use of SWI, and most of these are clinical citations. Surprisingly, and happily, once this technique was put into the hands of the clinicians (thanks to Siemens Medical Solutions adopting this as a clinical sequence), many new applications of SWI developed.4,5 Thanks to these clinical efforts, SWI has found applications in brain function (see also the paper by Ge et al in this issue6) and imaging cirrhosis of the liver.7 For this reason, we felt it appropriate to write both a technical review followed by a clinical review, back in 2009.4 Future applications are likely to include imaging the heart and atherosclerosis.8 Recently, the SWI concept received an award as one of the top 30 papers in Magnetic Resonance in Medicine as a technical paper.9

However, the most rewarding aspect of developing a method like this is to see it applied in the clinical world as a tool that helps not only to diagnose disease better but also to treat it. Two such examples of using SWI as a means to help determine treatment appeared recently for stroke10 and traumatic brain injury.11,12  Today we are expanding the use of SWI into a multiecho methodology for better determination of thrombosis and also as a means to better quantify susceptibility mapping13 in a new approach we refer to as susceptibility weighted imaging and mapping (SWIM). Finally, from a futuristic perspective, without a contrast agent, SWI cannot image arteries. However, with the use of an iron-based contrast agent, everything that has been done with veins prior to this now has the potential to be done with arteries, by changing their susceptibility and then using SWI.14 This offers the potential at high field to image both arteries and veins with SWI. Once put into the hands of clinicians, this could lead to many new discoveries in the presence and role of microvascular disease in neuroradiology. Several of these futuristic concepts will be presented at the upcoming meeting of the International Society of Magnetic Resonance in Medicine, in Toronto, Canada from May 30 to June 5, 2015.

References

  1. Lai S, Hopkins AL, Haacke EM, et al. Identification of vascular structures as a major source of signal contrast in high resolution 2D and 3D functional activation imaging of the motor cortex at 1.5T:  preliminary results. Magn Reson Med 1993;30:387–92, 10.1002/mrm.1910300318
  2. Haacke EM, Lai S, Yablonskiy DA, et al. In vivo validation of the BOLD mechanism: a review of signal changes in gradient echo functional MRI in the presence of flowIntl J of Imaging Syst and Technol 1995;6:153–63, 10.1002/ima.1850060204
  3. Reichenbach JR, Venkatesan R, Schillinger DJ, et al. Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent. Radiology 1997;204:272–77, 10.1148/radiology.204.1.9205259
  4. Haacke EM, Mittal S, Wu Z, et al. Susceptibility-weighted imaging: technical aspects and clinical applications, part 1. AJNR Am J Neuroradiol 2009;30:19–30, 10.3174/ajnr.A1400
  5. Mittal S, Wu Z, Nellavalli J, et al. Susceptibility-weighted imaging: technical aspects and clinical applications, part 2. AJNR Am J Neuroradiol 2009; 30: 232–52, 10.3174/ajnr.A1461
  6. Chang K, Barnes S, Haacke EM, et al. Imaging the effects of oxygen saturation changes in voluntary apnea and hyperventilation on susceptibility-weighted imaging. AJNR Am J Neuroradiol 2014:1091–95, 10.3174/ajnr.A3818
  7. Dai Y, Zeng M, Li R, et al. Improving detection of siderotic nodules in cirrhotic liver with a multi-breath-hold susceptibility-weighted imaging technique. J Magn Reson Imaging 2011;34:318–25, 10.1002/jmri.22607
  8. Yang Q, Liu J, Barnes SRS, et al. Imaging the vessel wall in major peripheral arteries using susceptibility weighted imaging: visualizing calcifications. J Magn Reson Imaging 2009;30:357–65, 10.1002/jmri.21859
  9. Haacke EM, Xu Y, Cheng YCN, et al. Susceptibility weighted imaging (SWI). Magn Reson Med  2004;52:612–18, 10.1002/mrm.20198
  10. Yan L, Li YD, Li YH, et al. Outcomes of antiplatelet therapy for haemorrhage patients after thrombolysis: a prospective study based on susceptibility-weighted imaging. Radiol Med 2014;119:175–82, 10.1007/s11547-013-0328-1
  11. Wang X, Wei XE, Li MH, et al. Microbleeds on susceptibility-weighted MRI in depressive and non-depressive patients after mild traumatic brain injury. Neurol Sci 2014;35:1533–39, 10.1007/s10072-014-1788-3
  12. Huang YL, Kuo YS, Tseng YC, et al. Susceptibility weighted MRI in mild traumatic brain injury. Neurology 2015;84:580–85, 10.1212/WNL.0000000000001237
  13. Haacke EM, Liu S, Buch S, et al. Quantitative susceptibility mapping: current status and future directions. Magn Reson Imaging 2015;33:1–25, 10.1016/j.mri.2014.09.004
  14. Shen Y, Zheng W, Cheng Y-CN, et al. USPIO high resolution neurovascular imaging in a rat stroke model of transient middle cerebral artery occlusion. Chinese Journal of MR 2014;31:20–31

 

Read Part 1 and Part 2 at AJNR.org …