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用于可视化和量化颈动脉对比增强超声图像中斑块新生血管的差分强度投影法

Differential Intensity Projection for Visualisation and Quantification of Plaque Neovascularisation in Contrast-Enhanced Ultrasound Images of Carotid Arteries.

作者信息

Cheung Wing Keung, Shah Benoy N, Stanziola Antonio, Gujral Dorothy M, Chahal Navtej S, Cosgrove David O, Senior Roxy, Tang Meng-Xing

机构信息

Department of Bioengineering, Imperial College, London, UK.

Department of Echocardiography, Royal Brompton Hospital, London, UK.

出版信息

Ultrasound Med Biol. 2017 Apr;43(4):831-837. doi: 10.1016/j.ultrasmedbio.2016.11.018. Epub 2017 Jan 13.

Abstract

Studies have reported that intraplaque neovascularisation (IPN) is closely correlated with plaque vulnerability. In this study, a new image processing approach, differential intensity projection (DIP), was developed to visualise and quantify IPN in contrast-enhanced non-linear ultrasound image sequences of carotid arteries. DIP used the difference between the local temporal maximum and the local temporal average signals to identify bubbles against tissue non-linear artefact and noise. The total absolute and relative areas occupied by bubbles within each plaque were calculated to quantify IPN. In vitro measurements on a laboratory phantom were made, followed by in vivo measurements in which 24 contrast-enhanced non-linear ultrasound image sequences of carotid arteries from 48 patients were selected and motion corrected. The results using DIP were compared with those obtained by maximum intensity projection (MIP) and visual assessment. The results indicated that DIP can significantly reduce non-linear propagation tissue artefacts and is much more specific in detecting bubble signals than MIP, being able to reveal microbubble signals that are buried in tissue artefacts in the corresponding MIP image. A good correlation was found between microvascular area (MVA) (r = 0.83, p < 0.001)/microvascular density (r = 0.77, p < 0.001) obtained using DIP and the corresponding expert visual grades, comparing favourably to r = 0.26 and 0.23 obtained using MIP on the same data. In conclusion, the proposed method exhibits great potential in quantification of IPN in contrast-enhanced ultrasound images of carotid arteries.

摘要

研究报告称,斑块内新生血管形成(IPN)与斑块易损性密切相关。在本研究中,开发了一种新的图像处理方法——差分强度投影(DIP),用于在颈动脉对比增强非线性超声图像序列中可视化和量化IPN。DIP利用局部时间最大值与局部时间平均信号之间的差异来识别气泡,以对抗组织非线性伪像和噪声。计算每个斑块内气泡所占的总绝对面积和相对面积,以量化IPN。首先在实验室模型上进行体外测量,然后进行体内测量,从48例患者中选择24个颈动脉对比增强非线性超声图像序列并进行运动校正。将使用DIP得到的结果与通过最大强度投影(MIP)和视觉评估得到的结果进行比较。结果表明,DIP可以显著减少非线性传播组织伪像,在检测气泡信号方面比MIP更具特异性,能够揭示相应MIP图像中埋在组织伪像中的微泡信号。使用DIP获得的微血管面积(MVA)(r = 0.83,p < 0.001)/微血管密度(r = 0.77,p < 0.001)与相应的专家视觉分级之间存在良好的相关性,与在相同数据上使用MIP获得的r = 0.26和0.23相比更具优势。总之,所提出的方法在颈动脉对比增强超声图像中IPN的量化方面具有巨大潜力。

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