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Efficient initialisation of distance-regularised level set without re-initialisation scheme and quantitative evaluation of IMT in B mode ultrasound common carotid artery images

机译:B模式超声颈总动脉图像中无需重新初始化方案的有效距离初始化水平集的初始化和IMT的定量评估

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摘要

Segmentation of the Common Carotid Artery (CCA) wall is imperative for the estimation of the Intima Media Thickness (IMT) in B-mode longitudinal ultrasound images. IMT is considered as the prominent indicator of atherosclerosis and is defined as the distance between Lumen-lntima (LI) and Media-Adventitia (MA) interfaces of CCA vessel. This paper proposes an efficient initialisation scheme for Distance-Regularised Level Set without re-initialisation Evolution (DRLSE) method by utilising Fast Fuzzy C-Mean clustering (FFCM) technique to detect Li and MA interfaces accurately. Distance between the detected interfaces is determined by Polyline Distance Metric (PDM). Also, a quantitative and qualitative comparison among proposed method, manual method and snake method is presented. Experimental results show that the proposed method is robust in terms of region of interest selection (ROD, noise (speckle as well as salt and pepper) and images acquired from different machines. Inter-method, inter-operator and intra-operator variability have been studied by computing average, standard deviation, Coefficient of Variation (CV%) and via Wilcoxon's signed-rank test (at p < 0.05). Reported results demonstrate close agreement between manual and proposed methods. The proposed method is semiautomatic and bears an advantage that a tight ROI is not required which encourages its use in clinical practice.
机译:为了估计B型纵向超声图像中的内膜中层厚度(IMT),必须切开颈总动脉(CCA)壁。 IMT被认为是动脉粥样硬化的主要指标,并且被定义为CCA血管的流明-第一核(LI)与中膜-血管膜(MA)界面之间的距离。通过利用快速模糊C均值聚类(FFCM)技术准确检测Li和MA接口,提出了一种无需重新初始化演化(DRLSE)方法的有效距离初始化水平集初始化方案。检测到的接口之间的距离由折线距离度量(PDM)确定。同时,对所提出的方法,手工方法和蛇形方法进行了定量和定性的比较。实验结果表明,该方法在感兴趣区域选择(ROD,噪声(散斑以及盐和胡椒)以及从不同机器获取的图像)方面具有鲁棒性,方法,操作者之间和操作者内部的可变性已经得到了验证。通过计算平均值,标准偏差,变异系数(CV%)并通过Wilcoxon符号秩检验(p <0.05)进行了研究,报告的结果表明手动方法与建议方法之间存在密切的一致性,该方法是半自动的,具有以下优点:不需要严格的投资回报率,以鼓励其在临床实践中使用。

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