Numerical Modeling of Magnetic Resonance Elastography

被引:0
|
作者
Zhu X.-L. [1 ]
Li B.-N. [1 ]
Xiang K. [2 ]
机构
[1] Department of Biomedical Engineering, Hefei University of Technology, Hefei, 230009, Anhui
[2] School of Automation, Wuhan University of Technology, Wuhan, 430070, Hubei
来源
Li, Bing-Nan (bingoon@ieee.org) | 1600年 / Chinese Institute of Electronics卷 / 45期
关键词
Elastic wave; Magnetic resonance elastography; Numerical simulation; Soft tissue; Tissue elasticity;
D O I
10.3969/j.issn.0372-2112.2017.06.029
中图分类号
学科分类号
摘要
Magnetic resonance elastography (MRE) is emerging to virtually palpate human body and visualize tissue elasticity. Although MRE receives more and more attention in clinic, the study is limited due to the inaccessibility and expensiveness of magnetic resonance scanning. A numerical model is thus proposed by analyzing tissue elasticity and the forced movement differential equation. The finite element method (FEM) is introduced to resolve this numerical model of MRE. Its performance is validated with different models of tissue structure and elasticity composition. The results of quantitative experiments confirm that the new model is effective to promote numerical MRE study. © 2017, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码:1483 / 1489
页数:6
相关论文
共 16 条
  • [1] Hoyt K., Castaneda B., Zhang M., Et al., Tissue elasticity properties as biomarkers for prostate cancer, Cancer biomarkers: Section A of Disease Markers, 4, 4-5, pp. 213-225, (2008)
  • [2] Singh S., Venkatesh S.K., Wang Z., Et al., Diagnostic performance of magnetic resonance elastography in staging liver fibrosis: a systematic review and meta-analysis of individualParticipant data, Clinical Gastroenterology and Hepatology, 13, 3, pp. 440-451, (2015)
  • [3] Sinkus R., Tanter M., Catheline S., Et al., Imaging anisotropic and viscous properties of breast tissue by magnetic resonance-elastography, Magnetic Resonance in Medicine, 53, 2, pp. 372-387, (2005)
  • [4] Wagner M., Besa C., Ayache J.B., Et al., Magnetic resonance elastography of the liver: qualitative and quantitative comparison of gradient echo and spin echo echoplanar imaging sequences, Investigative Radiology, 51, 9, pp. 575-581, (2016)
  • [5] Yu L., Yang W., Lu Z., Et al., Joint estimation of enhancement field sequence and deformation field of breast DCE-MRI, Acta Electronica Sinica, 42, 8, pp. 1509-1514, (2014)
  • [6] He N., Lu K., Wang W., The method of MR images motion artifacts fast suppression based on structure remains, Acta Electronica Sinica, 41, 7, pp. 1319-1323, (2013)
  • [7] Liu X., Xie C., Wang W., Magnetic resonance elastography, Chinese Medical Device Information, 17, 10, pp. 11-18, (2011)
  • [8] Clayton E.H., Genin G.M., Bayly P.V., Transmission, attenuation and reflection of shear waves in the human brain, Journal of the Royal Society Interface, 9, 76, pp. 2899-2910, (2012)
  • [9] Singh S., Venkatesh S.K., Wang Z., Et al., Diagnostic performance of magnetic resonance elastography in staging liver fibrosis: a systematic review and meta-analysis of individual participant data, Clinical Gastroenterology and Hepatology, 13, 3, pp. 440-451, (2015)
  • [10] Souchon R., Salomir R., Beuf O., Et al., Transient MR elastography (t-MRE) using ultrasound radiation force: Theory, safety, and initial experiments in vitro, Magnetic Resonance in Medicine, 60, 4, pp. 871-881, (2008)