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首页> 外文期刊>Journal of biomechanical engineering. >Strain measurement in coronary arteries using intravascular ultrasound and deformable images.
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Strain measurement in coronary arteries using intravascular ultrasound and deformable images.

机译:使用血管内超声和可变形图像测量冠状动脉的应变。

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摘要

Atherosclerotic plaque rupture is responsible for the majority of myocardial infarctions and acute coronary syndromes. Rupture is initiated by mechanical failure of the plaque cap, and thus study of the deformation of the plaque in the artery can elucidate the events that lead to myocardial infarction. Intravascular ultrasound (IVUS) provides high resolution in vitro and in vivo cross-sectional images of blood vessels. To extract the deformation field from sequences of IVUS images, a registration process must be performed to correlate material points between image pairs. The objective of this study was to determine the efficacy of an image registration technique termed Warping to determine strains in plaques and coronary arteries from paired IVUS images representing two different states of deformation. The Warping technique uses pointwise differences in pixel intensities between image pairs to generate a distributed body force that acts to deform a finite element model. The strain distribution estimated by image-based Warping showed excellent agreement with a known forward finite element solution, representing the gold standard, from which the displaced image was created. The Warping technique had a low sensitivity to changes in material parameters or material model and had a low dependency on the noise present in the images. The Warping analysis was also able to produce accurate strain distributions when the constitutive model used for the Warping analysis and the forward analysis was different. The results of this study demonstrate that Warping in conjunction with in vivo IVUS imaging will determine the change in the strain distribution resulting from physiological loading and may be useful as a diagnostic tool for predicting the likelihood of plaque rupture through the determination of the relative stiffness of the plaque constituents.
机译:动脉粥样硬化斑块破裂是大多数心肌梗塞和急性冠状动脉综合征的原因。破裂是由斑块帽的机械故障引起的,因此对动脉斑块变形的研究可以阐明导致心肌梗塞的事件。血管内超声(IVUS)可提供高分辨率的体外和体内血管横截面图像。为了从IVUS图像序列中提取变形场,必须执行配准过程以关联图像对之间的物质点。这项研究的目的是确定一种称为“翘曲”的图像配准技术的功效,该技术可以从代表两种不同变形状态的成对IVUS图像中确定斑块和冠状动脉的应变。翘曲技术使用图像对之间像素强度的逐点差异来生成分布的体力,该力用于使有限元模型变形。通过基于图像的翘曲估计的应变分布与已知的代表金标准的正向有限元解决方案具有极好的一致性,由此可以创建位移图像。翘曲技术对材料参数或材料模型的变化敏感度低,并且对图像中出现的噪声的依赖性也较低。当用于翘曲分析的模型和正向分析的本构模型不同时,翘曲分析还能够产生准确的应变分布。这项研究的结果表明,翘曲结合体内IVUS成像将确定由生理负荷引起的应变分布的变化,并且可以作为一种诊断工具,通过确定斑块相对硬度来预测斑块破裂的可能性。斑块成分。

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