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Numerical reconstruction of brain tumours

机译:脑肿瘤的数值重构

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We propose a nonlinear Landweber method for the inverse problem of locating the brain tumour source (origin where the tumour formed) based on well-established models of reaction-diffusion type for brain tumour growth. The approach consists of recovering the initial density of the tumour cells starting from a later state, which can be given by a medical image, by running the model backwards. Moreover, full three-dimensional simulations are given of the tumour source localization on two types of data, the three-dimensional Shepp-Logan phantom and an MRI T1-weighted brain scan. These simulations are obtained using standard finite difference discretizations of the space and time derivatives, generating a simple approach that performs well.
机译:我们提出了一种非线性Landweber方法,用于基于脑肿瘤生长的良好确定的反应扩散类型模型定位脑肿瘤源(原始肿瘤所形成的肿瘤的原点)的反问题。 该方法包括从稍后的状态开始恢复肿瘤细胞的初始密度,通过向后运行模型,可以通过医学图像给出。 此外,给出了全三维仿真对两种类型的数据,三维Shepp-Logan Phantom和MRI T1加权脑扫描的肿瘤源定位。 使用空间和时间衍生物的标准有限差异离散化获得这些模拟,从而产生良好的简单方法。

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