|
Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Engineering / Faculty of Engineering >
Peer-reviewed Journal Articles, etc >
Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model
This item is licensed under:Creative Commons Attribution 4.0 International
| Title: | Numerical simulations of magnetic resonance elastography using finite element analysis with a linear heterogeneous viscoelastic model |
| Authors: | Tomita, Sunao Browse this author | | Suzuki, Hayato Browse this author | | Kajiwara, Itsuro Browse this author →KAKEN DB | | Nakamura, Gen Browse this author | | Jiang, Yu Browse this author | | Suga, Mikio Browse this author | | Obata, Takayuki Browse this author | | Tadano, Shigeru Browse this author →KAKEN DB |
| Keywords: | Magnetic resonance elastography | | Elastogram | | Viscoelasticity | | Finite element analysis | | Liver |
| Issue Date: | Feb-2018 |
| Publisher: | Springer |
| Journal Title: | Journal of visualization |
| Volume: | 21 |
| Issue: | 1 |
| Start Page: | 133 |
| End Page: | 145 |
| Publisher DOI: | 10.1007/s12650-017-0436-4 |
| Abstract: | 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. |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/68305 |
| Appears in Collections: | 工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
|
Submitter: 梶原 逸朗
|
