Centre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Math Biosci. 2013 Nov;246(1):191-201. doi: 10.1016/j.mbs.2013.08.012. Epub 2013 Sep 7.
Magnetic Resonance Elastography (MRE) is an emerging imaging modality for quantifying soft tissue elasticity deduced from displacement measurements within the tissue obtained by phase sensitive Magnetic Resonance Imaging (MRI) techniques. MRE has potential to detect a range of pathologies, diseases and cancer formations, especially tumors. The mechanical model commonly used in MRE is linear viscoelasticity (VE). An alternative Rayleigh damping (RD) model for soft tissue attenuation is used with a subspace-based nonlinear inversion (SNLI) algorithm to reconstruct viscoelastic properties, energy attenuation mechanisms and concomitant damping behavior of the tissue-simulating phantoms. This research performs a thorough evaluation of the RD model in MRE focusing on unique identification of RD parameters, μI and ρI. Results show the non-identifiability of the RD model at a single input frequency based on a structural analysis with a series of supporting experimental phantom results. The estimated real shear modulus values (μR) were substantially correct in characterising various material types and correlated well with the expected stiffness contrast of the physical phantoms. However, estimated RD parameters displayed consistent poor reconstruction accuracy leading to unpredictable trends in parameter behaviour. To overcome this issue, two alternative approaches were developed: (1) simultaneous multi-frequency inversion; and (2) parametric-based reconstruction. Overall, the RD model estimates the real shear shear modulus (μR) well, but identifying damping parameters (μI and ρI) is not possible without an alternative approach.
磁共振弹性成像(MRE)是一种新兴的成像方式,用于通过相位敏感磁共振成像(MRI)技术在组织内获得的位移测量来量化软组织弹性。MRE 具有检测一系列病理、疾病和癌症形成的潜力,特别是肿瘤。MRE 中常用的力学模型是线性粘弹性(VE)。Rayleigh 阻尼(RD)模型用于软组织衰减,与子空间非线性反演(SNLI)算法结合,用于重建粘弹性特性、能量衰减机制和组织模拟体模的伴随阻尼行为。这项研究对 MRE 中的 RD 模型进行了全面评估,重点是 RD 参数μI和ρI的独特识别。结果表明,基于一系列支持实验体模结果的结构分析,在单个输入频率下 RD 模型是不可识别的。基于对各种材料类型的特征描述,估计的真实剪切模量值(μR)具有相当的正确性,并与物理体模的预期刚度对比度很好地相关。然而,估计的 RD 参数显示出一致的较差的重建准确性,导致参数行为的不可预测趋势。为了克服这个问题,开发了两种替代方法:(1)同时多频反演;(2)基于参数的重建。总体而言,RD 模型很好地估计了真实剪切剪切模量(μR),但如果没有替代方法,阻尼参数(μI和ρI)是不可能识别的。