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Elastography based on mechanical and image energy minimization

机译:基于机械和图像能量最小化的弹性成像

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Ultrasound elastography (UE) is a promising imaging modality [1]. In vascular applications it uses ultrasound images of arteries in motion to assess their mechanical parameters and stress distributions in physiological or interventional loading conditions [2]. However some simplifying assumptions adopted classically in UE image processing methods restrict this modality to strain imaging.This work presents a new UE image processing method based on differential optical flow. The method constrains the solution of the optical flow problem to minimize a mechanical potential energy. In other words, from all possible solutions of the optical flow problem, it determines the one that minimizes strain energy density of the tissue.In addition, in order to estimate concurrently the stiffness parameter of the tissue with its optical flow (or apparent displacement field); we constrain them to verify the tissue mechanical equilibrium equations.In principle, with this approach we can assess the strain field and map the stiffness parameter for an elastic tissue.Finally our approach also allows us to estimate mechanical parameters of strained phantoms, from their RF or B-mode ultrasound images, considering not only the usual linear elastic mechanical law but also hyperelastic ones.
机译:超声弹性成像(UE)是一种很有前途的成像方式[1]。在血管应用中,它使用运动的动脉超声图像来评估其在生理或介入负荷情况下的机械参数和应力分布[2]。然而,UE图像处理方法中经典采用的一些简化假设将这种模式限制为应变成像。 这项工作提出了一种新的基于差分光流的UE图像处理方法。该方法限制了光流问题的解决,以最小化机械势能。换句话说,从光流问题的所有可能解决方案中,它确定了一种使组织的应变能密度最小的方法。 另外,为了同时估计组织的刚度参数及其光流(或视在位移场);我们约束他们以验证组织力学平衡方程。 原则上,通过这种方法,我们可以评估应变场并绘制弹性组织的刚度参数。 最后,我们的方法还允许我们从应变体模的RF或B模式超声图像中估计其力学参数,不仅要考虑通常的线性弹性力学定律,还要考虑超弹性定律。

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