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3D strain estimation of soft biological tissues based on a constrained minimization strategy

机译:基于受约束最小化策略的软生物组织的3D应变估计

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The aim of this study is the estimation of the three dimensional strain occurring in soft biological tissues under compressive forces, through the processing of radiofrequency ultrasound volumes. This work is one of the first attempts to deal with the 3D problem of tissue motion under load. In this article, we propose a new adaptive and iterative numerical model, allowing full-resolved strain parameters estimation. This model is based on an objective function minimization with linear inequalities constraints. An original technique of adaptive displacement of the region of study is also considered. Preliminary tests are performed on a volume of ultrasound data obtained from a 3D numerical phantom. Axial, lateral, and elevational displacements and axial strain fields are estimated, and compared with the theory.
机译:该研究的目的是估计在压缩力下的软生物组织中发生的三维菌株,通过加工射频超声量。这项工作是首次处理负载下组织运动的3D问题的尝试之一。在本文中,我们提出了一种新的自适应和迭代数值模型,允许全分辨应变参数估计。该模型基于具有线性不平等约束的目标函数最小化。还考虑了研究区域区域的自适应位移的原始技术。在从3D数值幻像获得的超声数据上执行初步测试。估计轴向,横向和高等位移和轴向应变场,并与理论进行比较。

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