Kallel F, Ophir J
University of Texas Medical School, Department of Radiology, Houston 77030, USA.
Ultrason Imaging. 1997 Jul;19(3):195-208. doi: 10.1177/016173469701900303.
A least-squares strain estimator (LSQSE) for elastography is proposed. It is shown that with such an estimator, the signal-to-noise ratio in an elastogram (SNRe) is significantly improved. This improvement is illustrated theoretically using a modified strain filter and experimentally using a homogeneous gel phantom. It is demonstrated that the LSQSE results in an increase of the elastographic sensitivity (smallest, strain that could be detected), thereby increasing the strain dynamic range. Using simulated data, it is shown that a tradeoff exists between the improvement in SNRe and the reduction of strain contrast and spatial resolution.
提出了一种用于弹性成像的最小二乘应变估计器（LSQSE）。结果表明，使用这种估计器，弹性图中的信噪比（SNRe）得到了显著提高。使用改进的应变滤波器从理论上说明了这种改进，并使用均匀凝胶体模进行了实验验证。结果表明，LSQSE提高了弹性成像的灵敏度（可检测到的最小应变），从而增加了应变动态范围。使用模拟数据表明，在SNRe的提高与应变对比度和空间分辨率的降低之间存在权衡。
