A least-squares strain estimator for elastography
A least-squares strain estimator for elastography
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DOI：
10.1177/016173469701900303
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发表时间：
1997-07-01
影响因子：
2.3
通讯作者：
Ophir, J
中科院分区：
文献类型：
--
作者：
Kallel, F;Ophir, J
提出了一种用于弹性成像的最小二乘应变估计器（LSQSE）。它示出，与这样的估计，在弹性图（SNR，）的信噪比显着提高。这种改进在理论上使用改进的应变滤波器和实验上使用均匀凝胶体模来说明。II表明LSQSE导致弹性成像灵敏度（可检测到的最小应变）增加，从而增加应变动态范围。使用模拟数据，它表明，SNRe的改善之间存在一个折衷，应变对比度和空间分辨率的减少。(C)1997 Dynamedia，Inc.
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 (SNR,) is significantly improved. This improve ment is illustrated theoretically using a modified strain filter and experimentally using a homogeneous gel phantom. II 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. (C) 1997 Dynamedia, Inc.