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Motion compensation method for quantification of neovascularization in carotid atherosclerotic plaques with contrast enhanced ultrasound (CEUS)

机译:颈动脉粥样硬化斑块与对比度增强超声(CEUS)在颈动脉粥样硬化斑块中量化的运动补偿方法

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Several studies have linked intraplaque neovascularization (IPN) with progressive atherosclerotic disease and plaque instability. An accurate quantification of IPN may allow early detection of vulnerable plaques. In this study, a dedicated motion compensation method was developed for quantification of IPN in small plaques (<30% diameter stenosis). Motion compensation is a prerequisite to analyze identical regions of interest (ROI) for accurate quantification of IPN. Side-by-side CEUS and B-mode ultrasound images of carotid arteries were acquired by a Philips iU22 system with a L9-3 linear array probe. The motion pattern for the plaque region was obtained from the B-mode images with a tuned speckle tracking (ST) method with subpixel precision and applied to contrast images. In-vivo validation was done by comparing ST to manual tracking by two experts for multibeat image sequences (MIS) of 11 plaques. In the in-vivo validation, error was 51.4 ± 91 µm for X (longitudinal) and 18.7 ± 39.8 µm for Y (radial). The ST success rate was visually assessed on 67 atherosclerotic wall plaque MIS. The tracking was considered failed if the ST deviated > 2 pixels from true motion in any frame. Tracking was scored as fully successful in 52 MIS (78%). The proposed motion tracking is sufficiently accurate and successful for in vivo application.
机译:几项研究与逐次动脉粥样硬化疾病和斑块不稳定性有联结了颅内新血管形成(IPN)。准确量化IPN可以允许早期检测易受攻击的斑块。在该研究中,开发了一种专用的运动补偿方法,用于在小斑块(<30%直径狭窄)中的IPN定量IPN。运动补偿是分析IPN的准确定量的相同感兴趣区域(ROI)的先决条件。使用L9-3线性阵列探头的飞利浦IU22系统采集了颈动脉的并排CeU和B模式超声图像。用具有子像素精度的调谐散斑跟踪(ST)方法的B模式图像获得斑块区域的运动模式,并应用于对比图像。通过将ST与Multibeat图像序列(MIS)的两个专家进行比较来完成体内验证,以便在11个斑块的多斑块的多人图像序列(MIS)。在体内验证中,X(纵向)和18.7±39.8μm的误差为51.4±91μm(径向)。目视在67个动脉粥样硬化壁斑块MIS上进行直接评估ST成功率。如果ST偏离了任何帧中的真实运动,则考虑跟踪失败。追踪在52个MY(78%)中得分完全成功。所提出的运动跟踪在体内应用中足够准确和成功。

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