Investigative Magnetic Resonance Imaging

  • 제21권1호
  • /
  • Pages.28-33
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  • 2017
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  • 2384-1095(pISSN)
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  • 2384-1109(eISSN)
대한자기공명의과학회 (Korean Society of Magnetic Resonance in Medicine)
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Measurement and Compensation of Respiration-Induced B0 Variations in Lumbar Spine Bone Marrow Fat Quantification

  • Nam, Yoonho (Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea) ;
  • Hwang, Eojin (Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea) ;
  • Jung, Joon-Yong (Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea)
  • 투고 : 2016.12.06
  • 심사 : 2017.03.07
  • 발행 : 2017.03.30
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초록

Purpose: To investigate and compensate the effects of respiration-induced B0 variations on fat quantification of the bone marrow in the lumbar spine. Materials and Methods: Multi-echo gradient echo images with navigator echoes were obtained from eight healthy volunteers at 3T clinical scanner. Using navigator echo data, respiration-induced B0 variations were measured and compensated. Fat fraction maps were estimated using $T2^*$-IDEAL algorithm from the uncompensated and compensated images. For manually drawn bone marrow regions, the estimated B0 variations and the calculated fat fractions (before and after compensations) were analyzed. Results: An increase of temporal B0 variations from inferior level to superior levels was observed for all subjects. After compensation using navigator echo data, the effects of the B0 variations were reduced in gradient echo images. The calculated fat fractions show significant differences (P < 0.05) in L1 and L3 between the uncompensated and the compensated. Conclusion: The results of this study raise the need for considering respiration-induced B0 variations for accurate fat quantification using gradient echo images in the lumbar spine. The use of navigator echo data can be an effective way for the reduction of the effects of respiratory motion on the quantification.

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참고문헌

  1. Ragab Y, Emad Y, Gheita T, et al. Differentiation of osteoporotic and neoplastic vertebral fractures by chemical shift {in-phase and out-of phase} MR imaging. Eur J Radiol 2009;72:125-133 https://doi.org/10.1016/j.ejrad.2008.06.019
  2. Padhani AR, Makris A, Gall P, Collins DJ, Tunariu N, de Bono JS. Therapy monitoring of skeletal metastases with wholebody diffusion MRI. J Magn Reson Imaging 2014;39:1049-1078 https://doi.org/10.1002/jmri.24548
  3. Baum T, Yap SP, Dieckmeyer M, et al. Assessment of whole spine vertebral bone marrow fat using chemical shiftencoding based water-fat MRI. J Magn Reson Imaging 2015;42:1018-1023 https://doi.org/10.1002/jmri.24854
  4. Li X, Kuo D, Schafer AL, et al. Quantification of vertebral bone marrow fat content using 3 Tesla MR spectroscopy: reproducibility, vertebral variation, and applications in osteoporosis. J Magn Reson Imaging 2011;33:974-979 https://doi.org/10.1002/jmri.22489
  5. Rosen CJ, Ackert-Bicknell C, Rodriguez JP, Pino AM. Marrow fat and the bone microenvironment: developmental, functional, and pathological implications. Crit Rev Eukaryot Gene Expr 2009;19:109-124 https://doi.org/10.1615/CritRevEukarGeneExpr.v19.i2.20
  6. Schellinger D, Lin CS, Fertikh D, et al. Normal lumbar vertebrae: anatomic, age, and sex variance in subjects at proton MR spectroscopy--initial experience. Radiology 2000;215:910-916 https://doi.org/10.1148/radiology.215.3.r00jn42910
  7. Ma J. Dixon techniques for water and fat imaging. J Magn Reson Imaging 2008;28:543-558 https://doi.org/10.1002/jmri.21492
  8. Yu H, McKenzie CA, Shimakawa A, et al. Multiecho reconstruction for simultaneous water-fat decomposition and T2* estimation. J Magn Reson Imaging 2007;26:1153-1161 https://doi.org/10.1002/jmri.21090
  9. Verma T, Cohen-Adad J. Effect of respiration on the B0field in the human spinal cord at 3T. Magn Reson Med 2014;72:1629-1636 https://doi.org/10.1002/mrm.25075
  10. Yu H, Shimakawa A, McKenzie CA, et al. Phase and amplitude correction for multi-echo water-fat separation with bipolar acquisitions. J Magn Reson Imaging 2010;31:1264-1271 https://doi.org/10.1002/jmri.22111
  11. Hu X, Kim SG. Reduction of signal fluctuation in functional MRI using navigator echoes. Magn Reson Med 1994;31:495-503 https://doi.org/10.1002/mrm.1910310505
  12. Wen J, Cross AH, Yablonskiy DA. On the role of physiological fluctuations in quantitative gradient echo MRI: implications for GEPCI, QSM, and SWI. Magn Reson Med 2015;73:195-203 https://doi.org/10.1002/mrm.25114
  13. Nam Y, Kim DH, Lee J. Physiological noise compensation in gradient-echo myelin water imaging. Neuroimage 2015;120:345-349 https://doi.org/10.1016/j.neuroimage.2015.07.014
  14. Yoo YH, Kim HS, Lee YH, et al. Comparison of Multi-Echo Dixon Methods with Volume Interpolated Breath-Hold Gradient Echo Magnetic Resonance Imaging in Fat-Signal Fraction Quantification of Paravertebral Muscle. Korean J Radiol 2015;16:1086-1095 https://doi.org/10.3348/kjr.2015.16.5.1086
  15. Kang BK, Yu ES, Lee SS, et al. Hepatic fat quantification: a prospective comparison of magnetic resonance spectroscopy and analysis methods for chemical-shift gradient echo magnetic resonance imaging with histologic assessment as the reference standard. Invest Radiol 2012;47:368-375 https://doi.org/10.1097/RLI.0b013e31824baff3
  16. Yokoo T, Shiehmorteza M, Hamilton G, et al. Estimation of hepatic proton-density fat fraction by using MR imaging at 3.0 T. Radiology 2011;258:749-759 https://doi.org/10.1148/radiol.10100659
  17. Lee H, Nam Y, Han D, Gho SM, Kim DH. SWI of the cervical-spinal cord with respiration noise correction using navigator echo. ISMRM 23rd Annual Meeting & Exhibition, Toronto, Ontario, Canada. 30 May-5 June, 2015, #1727