Mohamed Ashraf, Davatzikos Christos
CISST NSF Engineering Research Center, Department of Computer Science, Johns Hopkins University, USA.
Med Image Comput Comput Assist Interv. 2005;8(Pt 1):400-8. doi: 10.1007/11566465_50.
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.
出于对辅助脑肿瘤图像可变形配准方法的需求，我们提出了一种三维（3D）力学模型，用于模拟肿瘤对周围脑组织引起的大的非线性变形。该模型由3D放射图像初始化，并使用有限元（FE）方法实现。为了模拟脑肿瘤广泛变化的行为，该模型由许多与诸如肿瘤主体位置、大小、质量效应和肿瘤周围水肿范围等变量相关的参数控制。将模型预测结果与在一名人类受试者和3只患有手术移植胶质瘤的犬类的连续时间MRI扫描中观察到的真实脑肿瘤引起的变形进行比较。结果表明，该模型能够以与将模型与之比较的手动放置地标点相似的精度再现真实变形。
