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基于应变和基于模型的弹性成像模量的比较评估。

Comparative evaluation of strain-based and model-based modulus elastography.

作者信息

Doyley Marvin M, Srinivasan Seshadri, Pendergrass Sarah A, Wu Ziji, Ophir Jonathan

机构信息

Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.

出版信息

Ultrasound Med Biol. 2005 Jun;31(6):787-802. doi: 10.1016/j.ultrasmedbio.2005.02.005.

Abstract

Elastography based on strain imaging currently endures mechanical artefacts and limited contrast transfer efficiency. Solving the inverse elasticity problem (IEP) should obviate these difficulties; however, this approach to elastography is often fraught with problems because of the ill-posed nature of the IEP. The aim of the present study was to determine how the quality of modulus elastograms computed by solving the IEP compared with those produced using standard strain imaging methodology. Strain-based modulus elastograms (i.e., modulus elastograms computed by simply inverting strain elastograms based on the assumption of stress uniformity) and model-based modulus elastograms (i.e., modulus elastograms computed by solving the IEP) were computed from a common cohort of simulated and gelatin-based phantoms that contained inclusions of varying size and modulus contrast. The ensuing elastograms were evaluated by employing the contrast-to-noise ratio (CNR(e)) and the contrast transfer efficiency (CTE(e)) performance metrics. The results demonstrated that, at a fixed spatial resolution, the CNR(e) of strain-based modulus elastograms was statistically equivalent to those computed by solving the IEP. At low modulus contrast, the CTE(e) of both elastographic imaging approaches was comparable; however, at high modulus, the CTE(e) of model-based modulus elastograms was superior.

摘要

基于应变成像的弹性成像目前存在机械伪像和有限的对比度传递效率问题。解决逆弹性问题(IEP)应可避免这些困难;然而,由于IEP的不适定性,这种弹性成像方法常常充满问题。本研究的目的是确定通过解决IEP计算得到的模量弹性图质量与使用标准应变成像方法生成的弹性图质量相比如何。基于应变的模量弹性图(即基于应力均匀性假设简单反转应变弹性图计算得到的模量弹性图)和基于模型的模量弹性图(即通过解决IEP计算得到的模量弹性图)是从一组包含不同大小和模量对比度内含物的模拟和明胶基体模中计算得到的。随后通过使用对比度噪声比(CNR(e))和对比度传递效率(CTE(e))性能指标对生成的弹性图进行评估。结果表明,在固定空间分辨率下,基于应变的模量弹性图的CNR(e)与通过解决IEP计算得到的弹性图在统计学上等效。在低模量对比度下,两种弹性成像方法的CTE(e)相当;然而,在高模量下,基于模型的模量弹性图的CTE(e)更优。

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