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软组织流变学及其对弹性成像的影响:挑战与机遇。

Soft tissue rheology and its implications for elastography: Challenges and opportunities.

作者信息

Bilston Lynne E

机构信息

Neuroscience Research Australia and Prince of Wales Clinical School, University of New South Wales, Randwick, NSW, Australia.

出版信息

NMR Biomed. 2018 Oct;31(10):e3832. doi: 10.1002/nbm.3832. Epub 2017 Oct 9.

Abstract

Magnetic resonance elastography and related shear wave ultrasound elastography techniques can be used to estimate the mechanical properties of soft tissues in vivo by using the relationships between wave propagation and the elastic properties of materials. These techniques have found numerous clinical and research applications, tracking changes in tissue properties as a result of disease or other interventions. Most dynamic elastography approaches estimate tissue elastic (or viscoelastic) properties from a simplified version of the equations for the propagation of acoustic waves through a homogeneous linear (visco)elastic medium. However, soft tissue rheology is complex and departs significantly from this idealized picture. In particular, soft tissues are nonlinearly viscoelastic, inhomogeneous and often anisotropic, and their apparent stiffness can vary with the current loading state. All of these features have implications for the reliability and reproducibility of elastography measurements, from data acquisition to analysis and interpretation. New developments in inversion algorithms for elastography are beginning to offer solutions to account for the complex rheology of tissues, including inhomogeneity and anisotropy. There remains considerable potential to further refine elastography to capture the full spectrum of tissue rheology, and thus to better understand the underlying tissue microstructural changes in a broad range of clinical disorders.

摘要

磁共振弹性成像及相关的剪切波超声弹性成像技术可通过利用波传播与材料弹性特性之间的关系来估计体内软组织的力学特性。这些技术已在众多临床和研究应用中得到应用,用于追踪疾病或其他干预导致的组织特性变化。大多数动态弹性成像方法是根据声波在均匀线性(粘)弹性介质中传播的简化方程来估计组织的弹性(或粘弹性)特性。然而,软组织流变学很复杂,与这种理想化的情况有很大差异。特别是,软组织是非线性粘弹性、不均匀且通常各向异性的,其表观刚度会随当前加载状态而变化。所有这些特征都对弹性成像测量的可靠性和可重复性产生影响,从数据采集到分析和解释。弹性成像反演算法的新进展开始提供解决方案,以考虑组织的复杂流变学,包括不均匀性和各向异性。进一步完善弹性成像以捕捉组织流变学的全貌,从而更好地理解广泛临床疾病中潜在的组织微观结构变化,仍有相当大的潜力。

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