Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model

被引:4
|
作者
Tomita, Sunao [1 ]
Suzuki, Hayato [1 ]
Kajiwara, Itsuro [1 ]
Nakamura, Gen [2 ]
Jiang, Yu [3 ]
Suga, Mikio [4 ]
Obata, Takayuki [5 ]
Tadano, Shigeru [1 ]
机构
[1] Hokkaido Univ, Grad Sch Engn, Div Human Mech Syst & Design, Kita Ku, Kita 13,Nishi 8, Sapporo, Hokkaido 0608628, Japan
[2] Hokkaido Univ, Dept Math, Fac Sci, Kita Ku, Kita 10,Nishi 8, Sapporo, Hokkaido 0600810, Japan
[3] Shanghai Univ Finance & Econ, Dept Appl Math, 777 GuoDing Rd, Shanghai 200433, Peoples R China
[4] Chiba Univ, Ctr Frontier Med Engn, Inage Ku, 1-33 Yayoicho, Chiba, Chiba 2638522, Japan
[5] Natl Inst Radiol Sci, Inage Ku, 4-9-1 Anagawa, Chiba, Chiba 2638555, Japan
基金
日本科学技术振兴机构; 日本学术振兴会;
关键词
Magnetic resonance elastography; Elastogram; Viscoelasticity; Finite element analysis; Liver; MULTIFREQUENCY MR ELASTOGRAPHY; SHEAR-WAVE PROPAGATION; ACOUSTIC STRAIN WAVES; IN-VIVO; NONINVASIVE ASSESSMENT; BREAST-LESIONS; BRAIN; RECONSTRUCTION; MOLLIFICATION; ALGORITHM;
D O I
10.1007/s12650-017-0436-4
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Magnetic resonance elastography (MRE) is a technique to identify the viscoelastic moduli of biological tissues by solving the inverse problem from the displacement field of viscoelastic wave propagation in a tissue measured by MRI. Because finite element analysis (FEA) of MRE evaluates not only the viscoelastic model for a tissue but also the efficiency of the inversion algorithm, we developed FEA for MRE using commercial software called ANSYS, the Zener model for displacement field of a wave inside tissue, and an inversion algorithm called the modified integral method. The profile of the simulated displacement field by FEA agrees well with the experimental data measured by MRE for gel phantoms. Similarly, the value of storage modulus (i.e., stiffness) recovered using the modified integral method with the simulation data is consistent with the value given in FEA. Furthermore, applying the suggested FEA to a human liver demonstrates the effectiveness of the present simulation scheme.
引用
收藏
页码:133 / 145
页数:13
相关论文
共 50 条
  • [41] Design and Performance Analysis of a Switched Reluctance Motor Using Finite Element Analysis and Magnetic Equivalent Circuit Model
    Bhaktha, B. Sandesh
    Kumawat, Satish
    Pitchaimani, Jeyaraj
    Gangadharan, K. V.
    DEFENCE SCIENCE JOURNAL, 2023, 73 (01) : 29 - 40
  • [42] Induction Motor Analysis Using Magnetostatic Finite Element Simulations Considering Skewing
    Carbonieri, Matteo
    Bianchi, Nicola
    Alberti, Luigi
    2019 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC), 2019, : 147 - 153
  • [43] Laser Welding Simulations of Stainless Steel Joints using Finite Element Analysis
    Balasubramanian, K. R.
    Suthakar, T.
    Sankaranarayanasamy, K.
    Buvanashekaran, G.
    MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 6225 - +
  • [44] Probabilistic Approach for Determining the Material Properties of Meniscal Attachments In Vivo Using Magnetic Resonance Imaging and a Finite Element Model
    Kang, Kyoung-Tak
    Kim, Sung-Hwan
    Son, Juhyun
    Lee, Young Han
    Chun, Heoung-Jae
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2015, 22 (12) : 1097 - 1107
  • [45] Micro-Finite Element Analysis of the Proximal Femur on the Basis of High-Resolution Magnetic Resonance Images
    Rajapakse, Chamith S.
    Chang, Gregory
    CURRENT OSTEOPOROSIS REPORTS, 2018, 16 (06): : 657 - 664
  • [46] A fluid film model for finite element analysis of structures with linear hydrostatic bearings
    Jeon, SY
    Kim, KH
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2004, 218 (03) : 309 - 316
  • [47] Analysis of mixed finite element methods for the standard linear solid model in viscoelasticity
    Lee, Jeonghun J.
    CALCOLO, 2017, 54 (02) : 587 - 607
  • [48] Analysis of mixed finite element methods for the standard linear solid model in viscoelasticity
    Jeonghun J. Lee
    Calcolo, 2017, 54 : 587 - 607
  • [49] Soft Tissue Discrimination Using Magnetic Resonance Elastography with a New Elastic Level Set Model
    Li, Bing Nan
    Chui, Chee Kong
    Ong, Sim Heng
    Washio, Toshikatsu
    Numano, Tomokazu
    Chang, Stephen
    Venkatesh, Sudhakar
    Kobayashi, Etsuko
    MACHINE LEARNING IN MEDICAL IMAGING, 2010, 6357 : 76 - +
  • [50] Finite element simulations of the behavior of piled-raft foundations using a multiphase model
    Bourgeois, Emmanuel
    Hassen, Ghazi
    de Buhan, Patrick
    INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2013, 37 (09) : 1122 - 1139