Reproducible Classification of Infarct Heterogeneity Using Fuzzy Clustering on Multicontrast Delayed Enhancement Magnetic Resonance Images
Reproducible Classification of Infarct Heterogeneity Using Fuzzy Clustering on Multicontrast Delayed Enhancement Magnetic Resonance Images
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DOI：
10.1109/tmi.2009.2023515
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发表时间：
2009-10-01
影响因子：
10.6
通讯作者：
Wright, Graham A.
中科院分区：
文献类型：
--
作者：
Detsky, Jay S.;Paul, Gideon;Wright, Graham A.
延迟增强 MRI (DE-MRI) 可用于识别心肌梗塞 (MI)。传统反转恢复梯度回波 (IR-GRE) DE-MRI 图像上的 MI 分为梗死核心和异质外围（称为灰区），这与室性心动过速的诱发性有关。然而，这种分类对图像噪声敏感，取决于心肌远端区域的信号强度特征，并且需要手动绘制心内膜边界轮廓。开发了图像分析和模糊聚类技术来分析使用多重对比延迟增强（MCDE）序列获取的图像，以表征梗塞区域。 MCDE 分析是自动化的，并使用在多个反演时间获取的信号强度的数据拟合。在一项针对 15 名慢性 MI 患者的研究中，IR-GRE 和 MCDE 图像得出的灰色区域具有可比性。与基于 IR-GRE 的分析相比，使用基于 MCDE 的分析显着降低了与随机噪声和操作员输入相关的灰色区域大小的变异性。总之，MCDE 方法可以在任何给定数据集上对梗死核心和灰色区域进行更具重复性的测量。
Delayed enhancement MRI (DE-MRI) can be used to identify myocardial infarct (MI). Classification of MI into the infarct core and heterogeneous periphery (called the gray zone) on conventional inversion-recovery gradient echo (IR-GRE) DE-MRI images has been related to inducibility for ventricular tachycardia. However, this classification is sensitive to image noise, depends on the signal intensity characteristics in a remote region of myocardium, and requires manual contours of the endocardial border. Image analysis and fuzzy clustering techniques were developed to analyze images acquired using a multicontrast delayed enhancement (MCDE) sequence in order characterize the infarct zones. The MCDE analysis is automated and uses data fitting of signal intensities acquired at multiple inversion times. In a study of 15 patients with chronic MI, the gray zones derived from IR-GRE and MCDE images were comparable. The variability in the gray zone size associated with random noise and operator input was significantly reduced using the MCDE-based analysis compared to the IR-GRE-based analysis. In summary, the MCDE approach yields a more reproducible measure of the infarct core and gray zones on any given data set.