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Study of Image Segmentation for MR Diffusion Weighet Image Based on Active Contour

机译:基于主动轮廓的MR扩散称量图像的图像分割研究

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MR Diffusion Weighed Image(DWI) is one of many functional magnetic resonance imaging(fMRI) techniques, and could provide complicated spatial and structural information about the tissue. Aiming at segmentation MR diffusion weighed image for real-time application with numerical stability constraints and high efficiency, a method based on the minimization algorithm is developed. Our approach is based on the image segmentation tasks into a global minimization method. The minimization algorithm minimization the energy, avoid the drawback in the level set approach and easy to implement, allows us a fast minimization of the active contour. Experimental results show that the effectiveness for image segmentation with our method is preferable.
机译:MR弥散加权图像(DWI)是许多功能磁共振成像(fMRI)技术之一,可以提供有关组织的复杂空间和结构信息。针对具有数值稳定性约束和高效率的实时分割MR扩散加权图像,提出了一种基于最小化算法的方法。我们的方法是基于将图像分割任务转变为全局最小化的方法。最小化算法将能量最小化,避免了水平集方法的缺点并且易于实现,从而使我们能够快速最小化活动轮廓。实验结果表明,采用本方法进行图像分割的效果较好。

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