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Finite Element Modeling of Brain Tumor Mass-Effect from 3D Medical Images

机译:基于3D医学图像的脑肿瘤质量效应的有限元建模

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摘要

Motivated by the need for methods to aid the deformable registration of brain tumor images, we present a three-dimensional (3D) mechanical model for simulating large non-linear deformations induced by tumors to the surrounding encephalic tissues. The model is initialized with 3D radiological images and is implemented using the finite element (FE) method. To simulate the widely varying behavior of brain tumors, the model is controlled by a number of parameters that are related to variables such as the bulk tumor location, size, mass-effect, and peri-tumor edema extent. Model predictions are compared to real brain tumor-induced deformations observed in serial-time MRI scans of a human subject and 3 canines with surgically transplanted gliomas. Results indicate that the model can reproduce the real deformations with an accuracy that is similar to that of manual placement of landmark points to which the model is compared.
机译:出于对协助脑肿瘤图像可变形配准的方法的需求的推动,我们提出了三维(3D)力学模型,用于模拟肿瘤对周围脑组织的大非线性变形。该模型使用3D放射图像初始化,并使用有限元(FE)方法实施。为了模拟脑肿瘤的广泛变化行为,该模型由与多个参数相关的参数控制,这些参数与肿瘤的位置,大小,质量效应和肿瘤周围水肿程度等变量有关。将模型预测结果与在人类受试者和3只犬行外科手术移植的神经胶质瘤的连续MRI扫描中观察到的真实脑肿瘤诱发的变形进行比较。结果表明,该模型可以以与手动比较与模型进行比较的界标点的精度来再现真实变形。

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