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Three-dimensional volume reconstruction from slice data using phase-field models

机译:使用相场模型从切片数据进行三维体积重建

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摘要

We propose the application of a phase-field framework for three-dimensional volume reconstruction using slice data. The proposed method is based on the Allen-Cahn and Cahn-Hilliard equations, and the algorithm consists of two steps. First, we perform image segmentation on the given raw data using a modified Allen-Cahn equation. Second, we reconstruct a three-dimensional volume using a modified Cahn-Hilliard equation. In the modified Cahn-Hilliard equation, a fidelity term is introduced to keep the solution close to the slice data. The numerical methods use a hybrid method and an unconditionally stable nonlinear splitting scheme. The resulting discrete equations are solved using a multigrid method. The experiments on synthetic and real medical images are performed to demonstrate the accuracy and efficiency of the proposed method.
机译:我们提出了使用相片数据进行三维体积重建的相场框架的应用。该方法基于Allen-Cahn和Cahn-Hilliard方程,该算法包括两个步骤。首先,我们使用修正的Allen-Cahn方程对给定的原始数据执行图像分割。其次,我们使用修正的Cahn-Hilliard方程重建三维体积。在改进的Cahn-Hilliard方程中,引入了保真度项以使解决方案接近切片数据。数值方法使用混合方法和无条件稳定的非线性分裂方案。所得的离散方程使用多网格方法求解。进行了合成图像和真实医学图像的实验,以证明所提方法的准确性和效率。

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