波谱学杂志 ›› 2022, Vol. 39 ›› Issue (1): 72-86.doi: 10.11938/cjmr20212898

• 研究论文 • 上一篇    下一篇

结合生物力学模型重建左心室位移场

林剑圣,王丽嘉*()   

  1. 上海理工大学 医疗器械与食品学院, 上海 200093
  • 收稿日期:2021-03-22 出版日期:2022-03-05 发布日期:2021-07-05
  • 通讯作者: 王丽嘉 E-mail:lijiawangmri@163.com
  • 基金资助:
    上海理工大学2021医工交叉项目(10-21-308-412)

Reconstruction of Displacement Field of Left Ventricle Combined with Biomechanical Model

Jian-sheng LIN,Li-jia WANG*()   

  1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2021-03-22 Online:2022-03-05 Published:2021-07-05
  • Contact: Li-jia WANG E-mail:lijiawangmri@163.com

摘要:

左心室心肌最为发达,心肌收缩产生的高压将动脉血泵入全身,集中体现了心脏的泵血能力.定量分析左心室收缩运动是诊断心血管疾病(如心肌梗死)的重要途径.本文采用描述左心室心肌材质的生物力学模型重建左心室位移场.该力学模型作为插值项,与心脏电影磁共振图像的观测位移场共同纳入贝叶斯估计框架,并采用有限元法求解位移场方程.实验比较了左心室射血无力组(46例)与正常组(55例)的左心室功能参数,发现两组在径向和圆周方向的位移、速度、应变和应变率都具有非常显著的差异(p < 0.001),这证明本文方法能够有效区别左心室运动正常与否.实验结果还与CVI软件测量的左心室功能参数具有较高的相关性,说明本文方法有望辅助心血管疾病的临床诊断.

关键词: 左心室, 位移场, 生物力学模型, 心脏电影磁共振图像

Abstract:

The left myocardium is the strongest cardiac muscle, representing the ability of heart to pump arterial blood throughout the body. Quantitative analysis of the contractive motion of left ventricle (LV) stands an important approach to diagnose cardiovascular diseases such as myocardial infarction. This paper utilized a biomechanical model describing the material of left myocardium to reconstruct the displacement field of LV. The mechanical model was used as an interpolation term, which was incorporated into the Bayesian estimation framework with the displacement field observed by cardiac cine magnetic resonance (CCMR) image, and the equation of displacement field was solved by finite element method. Functional parameters of LV were compared between the weak (46 cases) and normal (55 cases) ejection fraction groups of LV in the experiment. Significant differences in radial and circumferential displacement and velocity, strain and strain rate were observed between the two groups (p < 0.001), which proved that the method could effectively distinguish whether the motion of LV is normal or not. The experimental results are also highly correlated with the functional parameters of LV measured by CVI software, indicating that the method will facilitate the diagnosis of cardiovascular diseases.

Key words: left ventricle, displacement field, biomechanical model, cardiac cine magnetic resonance image

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