Detection of Liver Fibrosis Using Magnetic Resonance Elastography

Abstract

Abstract:

Magnetic resonance elastography can be used to measure the elastic stress of the liver and the extent of hepatic fibrosis quantitatively. This paper describes the principles and practical implementation of magnetic resonance elastography, including tissue biomechanical model analysis, development of the shear wave developing stimulator, design of elastic imaging sequence and fitting algorithms for elastography. Magnetic resonance elastography measurements on ex vivo pork liver and human volunteers were demonstrated experimentally.

Key words: magnetic resonance elastography, hepatic fibrosis, local frequency estimation, elasticity, liver

CLC Number:

O482.53

WANG Hong-zhi1,2,5*, LIU Xiang1, WANG He3, CHEN Shan-shan1,5, HUANG Qing-ming1,5, WANG Xiao-yan4, LU Lun4, HUANG Yong1,5, CHENG Hong-yan4, LI Geng-ying2, ZHANG Xue-long1,5. Detection of Liver Fibrosis Using Magnetic Resonance Elastography[J]. Chinese Journal of Magnetic Resonance.

References

[1] Mannelli L，Godfray E，Graves M，et al. Magnetic resonance elastography: Feasibility of liver stiffness measurements in healthy volunteers at 3T[J]. Clin Radiol, 2012,3: 258-262.

[2] Meng Y, Jayant A, Talwalkar, et al. Assessment of hepatic fibrosis with magnetic resonance elastography[J]. Clin Gastroenterol Hepatol, 2007, 5: 1 207-1 213.

[3] Tian Yan(田艳), Fang Zhuo-ping(范竹萍), Gu Hai-yan(顾海燕). Application of magnetic resonance imaging to diagnosis of fatty liver disease(磁共振技术对脂肪性肝病诊断的进展)[J]. World Chinese J Digestology(世界华人消化杂志), 2007, 8: 2 626-2 630.

[4] Hamer O, Aguirre D, Casola G, et al. Fatty liver: imaging patterns and pitfalls[J]. Radiographics, 2006, 26: 1 637-1 653.

[5] Yin M, Rouviere O, Dresner A, et al. Rapid EPI-based MRE of the liver $J$ . Magn Res Med, 2006, 2 560-2 566.

[6] Piccinino F, Sagnelli G, Pasquale G, et al. Complications following percutaneous liver biopsy: a multicentre retrospective study on 68276 biopsies[J]. J Hepatology, 1986, 2: 165-173.

[7] Bravo A, Sheth S, Chopra S. Liver biopsy[J]. New Engl J Med, 2001, 344: 495-500.

[8] Muthupillai R, Lomas D, Rossman P, et al. Magnetic resonance elastography by direct visualization of propagating acoustic strain waves[J]. Science, 1995, 269(5 232): 1 854-1 857.

[9] Takenori O, Akira A, Tetsuya M. Magnetic resonance elastography: in vivo measurements of elasticity for human tissue[C]. Kyoto, Japan: International Conference on Informatics Research for Development of Knowledge Society Infrastructure. 2004, 3.

[10] Sinkus R, Lorenzen J, Schrader D, et al. High-resolution tensor MR elastography for breast tumor detection[J]. Phy Med Bio, 2000, 45(6): 1 649-1 664.

[11] Shadi F, Huihui Xu, Thomas J, et al. Microscopic magnetic resonance elastography (μMRE)[J]. Magn Res Med, 2005, 54(11): 605-615.

[12] Chen Jun(陈俊), Ni Cheng(倪成), Zhuang Tian-ge(庄天戈). Shear wave imaging by a piezoelectric ceramics driven in magnetic resonance elasto-graphy(磁共振弹性图中压电陶瓷驱动的横波成像)[J]. Chinese Sci Bull(科学通报), 2006，51(7)：781-785.

[13] Klatt D. In vivo determination of hepatic stiffness using steady-state free precession MRE[J]. Investment Radiology, 2006, 41: 841-848.

[14] Huwart L, Peeters F, Sinkus R, et al Liver fibrosis: non-invasive assessment with MR elastography[J]. NMR Biomed, 2006,19: 173-179.

[15] Osman N，Mcveigh E，Prince J. Imaging heart motion using harmonic phase MRI[J]．IEEE T Med Imag，2000, 19: 186-202.

[16] Peeters F, Sinkus R, Salameh N, et al. In vivo MR-Elastography of liver fibrosis[J]. Magn Reson Med, 2005, 13: 339.

[17] Rouviere O, Yin M, Dresner M A, et al. MR Elastography of the Liver: Preliminary Results[J]. Radiology, 2006, 240(2): 440-448.

[18] Rouviere O, Yin M, Dresner M A, et al. In vivo MR Elastography of the liver: preliminary results[J]. Magn Reson Med, 2005,13: 340.

[19] Wang Hong-zhi(汪红志)，Li Geng-ying(李鲠颖). The Application Study on Detection Liver Fibrosis using Nuclear Resonance Imaging Elastography technology(核磁共振弹性成像技术在肝纤维化检测中的应用研究)[D]. Ph.D. Thesis of East China Normal University(华东师范大学博士学位论文), 2011.

[20] Manduca A, Oliphant T, Dresner M, et al. Magnetic resonance elastography: in vivo non-invasive mapping of tissue elasticity[J]. Med Imag Analy, 2001, 5: 237-246.

[21] Houten V, Weaver J, Miga M, et al. Elasiticity reconstruction from experimental MR displacement data: Initial experience with an overlapping subzone finite element inversion process[J]. Med Phys, 2000, 27: 101-107.

[22] Bishop J, Samani A, Sciarretta J, et al. Two-dimensional MR elastography with linear inversion reconstruction: methodology and noise analysis[J]. Phys Med Biol, 2000, 45: 2 081-2 091.

[23] Oliphant T, Manduca A, Ehman R L, et al. Complex-valued stiffness reconstruction for magnetic resonance elastography by algebraic inversion of the differential equation[J]. Magn Reson Med, 2001, 45: 299-310.

[24] Catherine D，Thorsten A，Mary J, et al. Repeatability of magnetic resonance elastography for quantification of hepatic stiffness[J]. J Magn Reson Imag, 2010，31: 725-731.

[25] Huang Ying-ying(黄颖颖), Li Peng(李鹏), Liu Xiao-zheng(刘小征), et al. A synthetical algorithm for automatic phase correction of NMR spectra based neural network（基于神经网络的NMR谱图自动相位校正综合算法）[J]. Chinese J Magn Reson(波谱学杂志), 2007, 24(1): 43-51.

[26] Knutsson H, Westin F, Granlund G. Proceedings of the IEEE international conference on image processing[C]. Texas, USA: 1994, 13-16 1 36.

[27] Wang Hong-zhi(汪红志)，Wen Zeng-qing(温增庆)，Li Geng-ying(李鲠颖), et al. Project of assessing hepatic fibrosis based on magnetic resonance elastography(基于磁共振弹性成像技术的肝纤维化分级方案)[J]. Chinese J Medical Imaging Technology(中国医学影像技术), 2008, 11: 1 833-1 836.

[28] Wang Hong-zhi(汪红志), Xu Ling-feng(许凌峰), Li Geng-ying(李鲠颖), et al. Phantom study of the classification of liver fibrosis based on nuclear magnetic resonance elastography(基于弹性磁共振成像技术的肝纤维化分级体模研究)[J]. Acta Physica Sinica(物理学报), 2010，10：7 463-7 471. 

[29] Wang Hong-zhi(汪红志), Cai xiao-yun(蔡筱云), Li Geng-ying(李鲠颖), et al. Study and realization of local frequency estimation algorithm in magnetic resonance elasto-graphy based on dual-bandwidth Gaussian filters(基于双带宽高斯滤波器的核磁共振弹性图拟合算法研究与实现)[J]. Acta Physica Sinica(物理学报), 2011, 09: 35-44.