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Pharmacokinetic Perfusion Curves Estimation for Liver Tumor Diagnosis from DCE-MRI

机译:DCE-MRI诊断肝肿瘤的药代动力学灌注曲线估计

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Dynamic-Contrast Enhanced MRI (DCE-MRI) is a method to analyze the perfusion dynamics in the tissues. The contrast agent concentration along the time, after the bolus injection, depends on the type of tissue observed, namely on its vascularization density and metabolic activity. The number of acquired volumes in this type of exam is usually very small, typically < 10, and the volumes are misaligned due to respiratory and cardiac activities. In this paper an algorithm to automatically characterize the malignancy of the tumor is presented based on the perfusion curves on each voxel of the tumor, obtained from DCE-MRI. A non-rigid registration procedure based on Mutual Information (MI) criterion is used to align the small volumes representing the region of interest (ROI) containing the tumor along the time. A pharmacokinetic (PK) third order linear model is estimated from the observations and its parameters are used to classify the malignancy of tumor.
机译:动态对比度增强MRI(DCE-MRI)是一种分析组织中灌注动态的方法。在推注之后,沿时间的造影剂浓度取决于观察到的组织类型,即取决于其血管形成密度和代谢活性。在这种类型的检查中,获取的体积数量通常很小,通常<10,并且由于呼吸和心脏活动而导致体积未对齐。在本文中,基于从DCE-MRI获得的肿瘤每个体素上的灌注曲线,提出了一种自动表征肿瘤恶性的算法。基于互信息(MI)标准的非刚性配准过程用于对齐代表随时间推移的包含肿瘤的感兴趣区域(ROI)的小体积。根据观察结果估计药代动力学(PK)线性模型,并使用其参数对肿瘤的恶性程度进行分类。

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