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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Modeling Uncertainty of Strain Ratio Measurements in Ultrasound Breast Strain Elastography: A Factorial Experiment
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Modeling Uncertainty of Strain Ratio Measurements in Ultrasound Breast Strain Elastography: A Factorial Experiment

机译:超声乳房应变弹性成像中应变比测量不确定度的建模:析因实验

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摘要

Strain elastography (SE) is a technique in which images of localized tissue strains are used to detect the relative stiffness of tissues. The application of SE in differentiating malignant breast lesions from benign ones has been broadly investigated. The strain ratio (SR) between the background and the breast tumor has been used and its results have been mixed. Due to the complex nature of tissue elasticity and how it relates to the strain fields measured in SE, the exact reason is not known. In this study, we apply a novel design-of-experiments-based metamodeling approach to mechanical simulation of SE in the human breast. To our knowledge, such a study has not been reported in the ultrasound SE literature. More specifically, we first conduct a screening study to identify the biomechanical factors/simulation inputs that most strongly determine SR. We then apply a response surface experimental design to these factors to produce a metamodel of SR as a function of said factors. Results from the screening study suggest that the SR measurements are primarily influenced by three factors: the initial shear modulus of the lesion, the elastic nonlinearity of the lesion, and the precompression applied during acquisition. In order to investigate the implications of these results, stochastic inputs for these three factors associated with the malignant and benign cases were applied to the resulting response surface. The resulting optimal cutoffs, sensitivity, and specificity were generally in line with a majority (>60%) of 19 clinical trials in the literature.
机译:应变弹性成像(SE)是一种使用局部组织应变图像检测组织相对刚度的技术。 SE在区分乳腺良恶性病变方面的应用已得到广泛研究。已经使用了背景与乳腺肿瘤之间的应变比(SR),并且其结果是混合的。由于组织弹性的复杂性质以及它与SE中测量的应变场之间的关系,确切原因尚不清楚。在这项研究中,我们将基于实验设计的新型元建模方法应用于人乳腺SE的机械模拟。据我们所知,这种研究尚未在超声SE文献中进行报道。更具体地说,我们首先进行筛选研究,以识别最能确定SR的生物力学因素/模拟输入。然后,我们将响应面实验设计应用于这些因素,以产生作为所述因素的函数的SR元模型。筛选研究的结果表明,SR测量主要受三个因素影响:病变的初始剪切模量,病变的弹性非线性以及采集过程中施加的预压缩。为了调查这些结果的含义,将与恶性和良性病例相关的这三个因素的随机输入应用于结果响应表面。所得的最佳临界值,敏感性和特异性通常与文献中19项临床试验的大多数(> 60%)一致。

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