Numerical Simulation of Magnetic Resonance Elastography for Brain Tissue Study

doi:10.3969/j.issn.0372-2112.2018.05.028

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Numerical Simulation of Magnetic Resonance Elastography for Brain Tissue Study

更新时间：2025-07-08

- Numerical Simulation of Magnetic Resonance Elastography for Brain Tissue Study
- Acta Electronica Sinica Vol. 46, Issue 5, Pages: 1207-1212(2018)
- 作者机构：
  
  1. 合肥工业大学生物医学工程系,安徽,合肥,230009
  2. 武汉理工大学自动化学院,湖北,武汉,430070
  3. 合肥工业大学生物医学工程系,安徽,合肥,230009
  4. 武汉理工大学自动化学院,湖北,武汉,430070
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2018.05.028
  CLC： TP751
- Published Online：25 May 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
Numerical Simulation of Magnetic Resonance Elastography for Brain Tissue Study[J]. Acta Electronica Sinica, 2018, 46(5): 1207-1212.
DOI：

Numerical Simulation of Magnetic Resonance Elastography for Brain Tissue Study[J]. Acta Electronica Sinica, 2018, 46(5): 1207-1212. DOI： 10.3969/j.issn.0372-2112.2018.05.028.

摘要

磁共振弹性成像技术主要面向组织器官的生物力学属性检测，能够直观地导出定量弹性分布图.脑部组织的病变往往会引起其生物力学属性的变化，而且相对于其他影像指标更为灵敏，所以进行磁共振脑组织弹性成像研究具有重要意义.但是，由于组织结构复杂，磁共振脑组织弹性成像研究还处于起步阶段.直接在磁共振平台上进行脑组织弹性成像实验研究的成本比较高，而且受实验条件的限制，缺乏灵活性.本文先期通过数值模型仿真弹性波在不同组织器官中的传播过程，有效地克服了实际成像实验误差给研究带来的影响，对研发高效的脑组织弹性波驱动装置和精确的弹性重构算法具有指导意义.同时，针对已报道的仿体模型相对简单，与真实脑组织结构差异过大的问题，本文建立了专门的解析模型并开发了相应的开源算法，能够有效支撑磁共振脑组织弹性成像的数值仿真研究.

Abstract

Magnetic resonance elastography (MRE) is a new solution to detect and visualize the biomechanical properties of soft tissues.Brain lesions often lead to the changes of biomechanical properties.Therefore

the study of brain soft tissues by using MRE has great significance.However

the study confronts of the complicated brain structure

as well as the costs of MRE scanning.It is thus attractive to develop an effective numerical MRE platform which can depict the propagation of various elastic wave probes through brain tissues.On one hand

the results lead to the quantitative evaluation of the efficiency of various elastic wave probes.On the other hand

they can support the study of new MRE algorithms for elasticity reconstruction.A series of quantitative experiments have been carried out

and the results validate the effectiveness of this numerical MRE platform.

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