一种利用直方图分析对磨玻璃影倍增时间进行量化的CT扫描动态模型。
A dynamic model of CT scans for quantifying doubling time of ground glass opacities using histogram analysis.
作者信息
Farkas József Z, Smith Gary T, Webb Glenn F
机构信息
Division of Computing Science and Mathematics, University of Stirling, Stirling, FK9 4LA, UK.
出版信息
Math Biosci Eng. 2018 Oct 1;15(5):1203-1224. doi: 10.3934/mbe.2018055.
Abstract
We quantify a recent five-category CT histogram based classification of ground glass opacities using a dynamic mathematical model for the spatial-temporal evolution of malignant nodules. Our mathematical model takes the form of a spatially structured partial differential equation with a logistic crowding term. We present the results of extensive simulations and validate our model using patient data obtained from clinical CT images from patients with benign and malignant lesions.
摘要
我们使用一个针对恶性结节时空演变的动态数学模型，对最近基于五分类CT直方图的磨玻璃影分类方法进行了量化。我们的数学模型采用带有逻辑拥挤项的空间结构偏微分方程形式。我们展示了大量模拟的结果，并使用从患有良性和恶性病变患者的临床CT图像中获取的患者数据验证了我们的模型。
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