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American Journal of Neuroradiology
American Journal of Neuroradiology

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T. Granberg
American Journal of Neuroradiology October 2016, 37 (10) E70; DOI: https://doi.org/10.3174/ajnr.A4896
T. Granberg
aDepartment of Clinical Science, Intervention, and Technology Karolinska Institutet Stockholm, Sweden
bDepartment of Radiology Karolinska University Hospital Stockholm, Sweden
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We thank Vargas et al for their interest in our work and agree that synthetic MR imaging indeed is a promising technique with many potential applications for both clinical practice and research. As the authors mention, there are similarities between synthetic MR imaging and MR fingerprinting in their potential to reduce scanning time and provide quantitative MR imaging measurements to more objectively characterize tissue properties.1

In terms of clinical applications, SyMRI (SyntheticMR, Linköping, Sweden) has come far in making the sequence available on clinical scanners and integrating the analysis software in the clinical PACS system, making it feasible for clinical practice.2 Further validations of the technique are expected, and recently its quantification of proton-density, T1, and T2 have been shown to be accurate and reproducible, even with different coils.3 These results are promising for multicenter and longitudinal use. A precision study of synthetic MR imaging across scanners and field strengths would, therefore, be especially valuable for future studies and is planned. There are also areas for future developments of the technique, in which FLAIR artifacts are currently being addressed. 3D and further accelerated acquisitions remain on the wish list. In our group, we are currently evaluating nonconventional synthetic contrast weightings, such as phase-sensitive inversion recovery for detecting cortical involvement in multiple sclerosis, and more advanced tissue modeling based on the relaxometry. Other likely future applications include spinal imaging and body imaging, such as musculoskeletal imaging.

Meanwhile, MR fingerprinting is still in the early phases of development with many promising applications. How and where these techniques can be applied and provide clinically important and possibly complementing information remains to be explored. As often found in MR imaging, the main bottleneck in terms of possibilities for both techniques is our imagination.4

References

  1. 1.↵
    European Society of Radiology (ESR). Magnetic resonance fingerprinting: a promising new approach to obtain standardized imaging biomarkers from MRI. Insights Imaging 2015;6:163–65 doi:10.1007/s13244-015-0403-3 pmid:25800993
    CrossRefPubMed
  2. 2.↵
    1. Granberg T,
    2. Uppman M,
    3. Hashim F, et al
    . Clinical feasibility of synthetic MRI in multiple sclerosis: a diagnostic and volumetric validation study. AJNR Am J Neuroradiol 2016;37:1023–29 doi:10.3174/ajnr.A4665 pmid:26797137
    Abstract/FREE Full Text
  3. 3.↵
    1. Krauss W,
    2. Gunnarsson M,
    3. Andersson T, et al
    . Accuracy and reproducibility of a quantitative magnetic resonance imaging method for concurrent measurements of tissue relaxation times and proton density. Magn Reson Imaging 2015;33:584–91 doi:10.1016/j.mri.2015.02.013 pmid:25708264
    CrossRefPubMed
  4. 4.↵
    1. Ma D,
    2. Pierre EY,
    3. Jiang Y, et al
    . Music-based magnetic resonance fingerprinting to improve patient comfort during MRI examinations. Magn Reson Med 2016;75:2303–14 doi:10.1002/mrm.25818 pmid:26178439
    CrossRefPubMed
  • © 2016 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 37 (10)
American Journal of Neuroradiology
Vol. 37, Issue 10
1 Oct 2016
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T. Granberg
American Journal of Neuroradiology Oct 2016, 37 (10) E70; DOI: 10.3174/ajnr.A4896

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T. Granberg
American Journal of Neuroradiology Oct 2016, 37 (10) E70; DOI: 10.3174/ajnr.A4896
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