Correlation-based full-waveform shear wave elastography.

Correlation-based full-waveform shear wave elastography.
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DOI:
10.1088/1361-6560/acc37b
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发表时间:
2023-05-18
影响因子:
3.5
通讯作者:
--
中科院分区:
工程技术2区
文献类型:
--
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Objective.与重建三维弹性地图的最终目标,从超声粒子速度测量在一个平面上,我们在本文中提出了一种方法,从测量在一条线上的二维弹性地图的反演。Approach.反演方法基于梯度优化,其中弹性图被迭代地修改,直到在模拟响应和测量响应之间获得良好的匹配。全波模拟被用作基础的正演模型,以准确地捕获剪切波在异质软组织中的传播和散射的物理特性。所提出的反演方法的一个关键方面是基于测量和模拟响应之间的相关性的成本函数。主要结果。我们说明,基于相关性的功能具有更好的凸性和收敛性能相比,传统的最小二乘功能,是不太敏感的初始猜测,对噪声测量和其他错误是常见的超声弹性成像的鲁棒性。用合成数据进行的反演结果表明,该方法不仅能有效地刻画均匀包裹体的特征,还能得到整个研究区域的弹性图。意义所提出的想法导致剪切波弹性成像的一个新的框架,显示承诺在获得准确的地图剪切模量使用剪切波弹性成像数据从标准的临床扫描仪。
Objective. With the ultimate goal of reconstructing 3D elasticity maps from ultrasound particle velocity measurements in a plane, we present in this paper a methodology of inverting for 2D elasticity maps from measurements on a single line. Approach. The inversion approach is based on gradient optimization where the elasticity map is iteratively modified until a good match is obtained between simulated and measured responses. Full-wave simulation is used as the underlying forward model to accurately capture the physics of shear wave propagation and scattering in heterogeneous soft tissue. A key aspect of the proposed inversion approach is a cost functional based on correlation between measured and simulated responses. Main results. We illustrate that the correlation-based functional has better convexity and convergence properties compared to the traditional least-squares functional, and is less sensitive to initial guess, robust against noisy measurements and other errors that are common in ultrasound elastography. Inversion with synthetic data illustrates the effectiveness of the method to characterize homogeneous inclusions as well as elasticity map of the entire region of interest. Significance. The proposed ideas lead to a new framework for shear wave elastography that shows promise in obtaining accurate maps of shear modulus using shear wave elastography data obtained from standard clinical scanners.
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发表时间: 2020-11-24
影响因子: 3.5
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