用弹性成像估计维管组织的非线性力学特性。

Reza Karimi, Ting Zhu, Brett E Bouma, Mohammad R Kaazempur Mofrad
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引用次数: 55

摘要

提出了一种估计软组织非线性弹性特性的新方法。该方法将非线性有限元法与遗传算法相结合,用于估计组织刚度轮廓。提出了一种满足唯一性条件的多点估计方案,提高了估计性能,降低了对图像噪声的敏感性。利用光学相干断层扫描(OCT)图像证明了所提出技术的实用性。然而,该方法也适用于其他成像系统和模式,提供了可靠的图像配准方案。该算法应用于现实(2D)和理想(3D)动脉斑块模型,并证明了对非线性材料特性的斑块内分布的估计是有希望的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of nonlinear mechanical properties of vascular tissues via elastography.

A new method is proposed for estimation of nonlinear elastic properties of soft tissues. The proposed approach involves a combination of nonlinear finite element methods with a genetic algorithm for estimating tissue stiffness profile. A multipoint scheme is introduced that satisfies the uniqueness condition, improves the estimation performance, and reduces the sensitivity to image noise. The utility of the proposed techniques is demonstrated using optical coherence tomography (OCT) images. The approach is, however, applicable to other imaging systems and modalities, as well, provided a reliable image registration scheme. The proposed algorithm is applied to realistic (2D) and idealized (3D) arterial plaque models, and proves promising for the estimation of intra-plaque distribution of nonlinear material properties.

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