基于偏微分方程的CT图像分割及其MATLAB实现  

CT Image Segmentation Based on Partial Differential Equation and Programming in MATLAB

作　　者：周应杰[1] 吴海坚[1] 

机构地区：[1]广州医学院附属肿瘤医院,广东广州510095

出　　处：《中国医疗设备》2011年第5期159-161,129,共4页China Medical Devices

摘　　要：CT图像在医学影像领域的应用最为广泛,CT图像的分割对病变区域的提取、组织定位、组织测量以及实现三维重建有着非常重要的作用。近年来,基于偏微分方程的图像分割作为一种比较新颖且有效的图像分割方法,逐渐成为研究的热点。本文对基于偏微分方程(PDEs)的GAC和C-V两种图像分割模型进行了探讨,利用MATLAB语言编程实现,并结合实际CT图像进行了实验研究,为这些模型在CT图像的分割上的应用提供科学依据。CT images are widely used in medical science.CT image segmentation is important for disease area extraction,tissue location,tissue measuring,and three-dimensional reconstruction.Recently,image segmentations based on partial differential equation（PDE）,which is one of the novel and efficient segmentation ways,are gradually turned into research hotspot.In this article,we study in GAC model and C-V model based-PDE image segmentation.The arithmetic of the paper is carried out by programming in matlab,and is verified effectively.

关 键 词：CT图像 CT图像分割 偏微分方程 GAC模型 C-V模型 

分 类 号：R318[医药卫生—生物医学工程]