Share:
Share this content in WeChat
X
Review
The application value of synthetic MRI in diagnosis
CHEN Shuang  OUYANG Han 

Cite this article as: Chen S, OUYang H. The application value of synthetic MRI in diagnosis. Chin J Magn Reson Imaging, 2020, 11(9): 833-836. DOI:10.12015/issn.1674-8034.2020.09.027.


[Abstract] Synthetic magnetic resonance imaging (SyMRI) is a kind of technology of quantitative magnetic resonance imaging (QMRI), relaxation time and proton density of tissue can be quantified. SyMRI has already been widely used in diagnosis of intracranial diseases and detection of brain development. So far, SyMRI is one of the most recent MR scanning technology, which is applied in the diagnosis of diseases of certain parenchymal organs. In this paper, we introduced some aspects including the basic principles of SyMRI, repeatability research, application in brain and other substantial organs, briefly. Problems of quality and solutions of images also be presented later. The further extensive application of SyMRI technology still be prospected.
[Keywords] synthetic magnetic resonance imaging;scanning technique;diagnosis and application

CHEN Shuang National Cancer Center, National Clinical Research Center for Center, Cancer Hospital, Department of Diagnostic Radiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

OUYANG Han* National Cancer Center, National Clinical Research Center for Center, Cancer Hospital, Department of Diagnostic Radiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

*Correspondence to: Ouyang H, E-mail: houybj@126.com

Conflicts of interest   None.

Received  2020-01-14
Accepted  2020-04-17
DOI: 10.12015/issn.1674-8034.2020.09.027
Cite this article as: Chen S, OUYang H. The application value of synthetic MRI in diagnosis. Chin J Magn Reson Imaging, 2020, 11(9): 833-836. DOI:10.12015/issn.1674-8034.2020.09.027.

[1]
Goncalves FG, Serai SD, Zuccoli G. Synthetic brain MRI: review of current concepts and future directions. Top Magn Reson Imaging, 2018, 27(6): 387-393.
[2]
Hagiwara A. SyMRI of the brain: rapid quantification of relaxation rates and proton density, with synthetic MRI, automatic brain segmentation, and myelin measurement. Invest Radiol, 2017, 52(10): 647-657.
[3]
Lee SH. Optimization of T2-weighted imaging for shoulder magnetic resonance arthrography by synthetic magnetic resonance imaging. Acta Radiol, 2018, 59(8): 959-965.
[4]
Huizinga W. PCA-based groupwise image registration for quantitative MRI. Med Image Anal, 2016, 29: 65-78.
[5]
Granberg T, Uppman M, Hashim F, et al. Clinical feasibility of synthetic MRI in multiple sclerosis: a diagnostic and volumetric validation study. AJNR Am J Neuroradiol, 2016, 37(6): 1023-1029.
[6]
Hagiwara A. Synthetic MRI in the detection of multiple sclerosis plaques. AJNR Am J Neuroradiol, 2017, 38(2): 257-263.
[7]
Andica C, Hagiwara A, Hori M, et al. Automated brain tissue and myelin volumetry based on quantitative MR imaging with various in-plane resolutions. J Neuroradiol, 2018, 45(3): 164-168.
[8]
Krauss W, Gunnarsson M, 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(5): 584-591.
[9]
West J, Blystad I, Engström M, et al. Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths. PLoS One, 2013, 8(9): e74795.
[10]
Virhammar J, Warntjes M, Laurell K, et al. Quantitative MRI for rapid and user-independent monitoring of intracranial CSF volume in hydrocephalus. AJNR Am J Neuroradiol, 2016, 37(5): 797-801.
[11]
Andica C, Hagiwara A, Kamagata K, et al. Gray matter alterations in early and late relapsing-remitting multiple sclerosis evaluated with synthetic quantitative magnetic resonance imaging. Sci Rep, 2019, 9(1): 8147.
[12]
Park M. Myelin loss in white matter hyperintensities and normal-appearing white matter of cognitively impaired patients: a quantitative synthetic magnetic resonance imaging study. Eur Radiol, 2019, 29(9): 4914-4921.
[13]
Lee SM, Choi YH, Cheon JE, et al. Image quality at synthetic brain magnetic resonance imaging in children. Pediatr Radiol, 2017, 47(12): 1638-1647.
[14]
West H. Clinical validation of synthetic brain MRI in children: initial experience. Neuroradiology, 2017, 59(1): 43-50.
[15]
McAllister A, Leach J, West H, et al. Quantitative synthetic MRI in children: normative intracranial tissue segmentation values during development. AJNR Am J Neuroradiol, 2017, 38(12): 2364-2372.
[16]
West J, Warntjes JB, Lundberg P. Novel whole brain segmentation and volume estimation using quantitative MRI. Eur Radiol, 2012, 22(5): 998-1007.
[17]
Lee SM, Choi YH, You SK, et al. Age-related changes in tissue value properties in children: simultaneous quantification of relaxation times and proton density using synthetic magnetic resonance imaging. Invest Radiol, 2018, 53(4): 236-245.
[18]
Prastawa M, Bullitt E, Gerig G. Synthetic ground truth for validation of brain tumor MRI segmentation. Med Image Comput Comput Assist Interv, 2005, 8(1): 26-33.
[19]
Blystad I. Quantitative MRI for analysis of peritumoral edema in malignant gliomas. PLoS One, 2017, 12(5): e0177135.
[20]
Hagiwara A, Hori M, Suzuki M, et al. Contrast-enhanced synthetic MRI for the detection of brain metastases. Acta Radiol Open, 2016, 5(2): 2058460115626757.
[21]
Maekawa T, Hagiwara A, Hori M, et al. Effect of gadolinium on the estimation of myelin and brain tissue volumes based on quantitative synthetic MRI. AJNR Am J Neuroradiol, 2019, 40(2): 231-237.
[22]
Lescher S. Quantitative T1 and T2 mapping in recurrent glioblastomas under bevacizumab: earlier detection of tumor progression compared to conventional MRI. Neuroradiology, 2015, 57(1): 11-20.
[23]
Hattingen E, Jurcoane A, Daneshvar K, et al. Quantitative T2 mapping of recurrent glioblastoma under bevacizumab improves monitoring for non-enhancing tumor progression and predicts overall survival. Neuro Oncol, 2013, 15(10): 1395-1404.
[24]
Andica C. Synthetic MR imaging in the diagnosis of bacterial meningitis. Magn Reson Med Sci, 2017, 16(2): 91-92.
[25]
Ryu KH. Initial clinical experience of synthetic MRI as a routine neuroimaging protocol in daily practice: a single-center study. J Neuroradiol, 2020, 47(2):151-160.
[26]
Ryu K, Nam Y, Gho SM, et al. Data-driven synthetic MRI FLAIR artifact correction via deep neural network. J Magn Reson Imaging, 2019, 50(5): 1413-1423.
[27]
Duchaussoy T. Synthetic T2 mapping is correlated with time from stroke onset: a future tool in wake-up stroke management? Eur Radiol, 2019, 29(12): 7019-7026.
[28]
Fujiwara Y, Inoue Y, Kanamoto M, et al. The use of combined T2-weighted and FLAIR synthetic magnetic resonance images to improve white matter region contrast: a feasibility study. Radiol Phys Technol, 2019, 12(1): 118-125.
[29]
Drake-Perez M. Normal values of magnetic relaxation parameters of spine components with the synthetic MRI sequence. AJNR Am J Neuroradiol, 2018, 39(4): 788-795.
[30]
Yi J, Lee YH, Song HT, et al. Clinical feasibility of synthetic magnetic resonance imaging in the diagnosis of internal derangements of the knee. Korean J Radiol, 2018, 19(2): 311-319.
[31]
Yi J, Lee YH, Song HT, et al. Double-inversion recovery with synthetic magnetic resonance: a pilot study for assessing synovitis of the knee joint compared to contrast-enhanced magnetic resonance imaging. Eur Radiol, 2019, 29(5): 2573-2580.
[32]
Lee SH, Lee YH, Song HT, et al. Quantitative T2 mapping of knee cartilage: comparison between the synthetic MR imaging and the CPMG sequence. Magn Reson Med Sci, 2018, 17(4): 344-349.
[33]
Baron K, Neumayer B, Widek T, et al. Quantitative MR imaging in fracture dating: initial results. Forensic Sci Int, 2016, 261: 61-69.
[34]
Arita Y, Takahara T, Yoshida S, et al. Quantitative Assessment of Bone Metastasis in Prostate Cancer Using Synthetic Magnetic Resonance Imaging. 2019, 54(10): 638-644.

PREV Research progress of brown adipose tissue detection based on magnetic resonance imaging
NEXT The definition, principle and clinical applications of fluid-attenuated inversion recovery vascular hyperintensity
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn