Functional modeling for liver imaging and nodule characterization

P. Eliat, J. Bézy-Wendling, D. Baille-Barrelle, M. Kretowski, D. Olivié
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引用次数: 1

Abstract

In this paper, we propose to use functional modeling to extract physiological characteristics from dynamic gadolinium-enhanced MRI. The clinical objective is to independently compute the two vascular supplies of the liver, coming from hepatic artery and portal vein. These supplies are progressively modified in hepatocarcinogenesis, and their assessment can be useful for nodule characterization. A first physiological microscopic model of liver vascularization, allows simulating the evolution of the contrast material concentration. After comparison of simulated and real curves, a simplified version of this model is used to extract arterial and portal perfusion parameters, in normal case and in hepatic nodules. These values are in accordance with data obtained by invasive methods.
肝脏影像学和结节特征的功能建模
在本文中,我们建议使用功能建模从动态钆增强MRI中提取生理特征。临床目的是独立计算肝脏的两条血管供应,分别来自肝动脉和门静脉。这些供应在肝癌发生过程中逐渐改变,它们的评估可用于结节的表征。第一个肝脏血管化的生理微观模型,允许模拟造影剂浓度的演变。将模拟曲线与真实曲线进行比较后,采用简化模型提取正常情况和肝结节的动脉和门静脉灌注参数。这些值与侵入性方法获得的数据一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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