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基于改进快速活动轮廓模型的左心室核磁共振图像分割
引用本文:周则明,王洪元,尤建洁,王平安,夏德深.基于改进快速活动轮廓模型的左心室核磁共振图像分割[J].计算机研究与发展,2004,41(1):136-141.
作者姓名:周则明  王洪元  尤建洁  王平安  夏德深
作者单位:1. 南京理工大学计算机科学与工程系,南京,210094
2. 香港中文大学计算机科学与工程系,香港沙田
基金项目:香港特别行政区政府研究资助局基金项目 (CUHK/4 180 /0 1E)
摘    要:提出了改进的基于贪婪优化算法的快速活动轮廓模型,原算法加快了求解最优能量曲线的速度,但初始轮廓线必须给定在图像特征的附近。通过在优化的目标函数中增加面积能量项,扩大了算法捕获图像特征的范围,在对贪婪优化算法分析的基础上,给出了局部面积能量项的构造和使用方法,进而简化了优化的目标函数.实验结果表明,该算法具有快速、能在更大的范围内捕获图像的特征、较好地处理图像中凹陷区域的能力,是一种有效的分割左心室MRI图像的算法。

关 键 词:活动轮廓  贪婪算法  局部面积能量  MRI分割

Left Ventricle MRI Segmentation Based on an Improved Fast Snake Model
ZHOU Ze-Ming ,WANG Hong-Yuan ,YOU Jian-Jie ,Pheng Ann Heng ,and XIA De-Shen.Left Ventricle MRI Segmentation Based on an Improved Fast Snake Model[J].Journal of Computer Research and Development,2004,41(1):136-141.
Authors:ZHOU Ze-Ming  WANG Hong-Yuan  YOU Jian-Jie  Pheng Ann Heng  and XIA De-Shen
Affiliation:ZHOU Ze-Ming 1,WANG Hong-Yuan 1,YOU Jian-Jie 1,Pheng Ann Heng 2,and XIA De-Shen 1 1
Abstract:An improved fast parametric active contour model based on greedy algorithm is proposed. The original model can find the optimization curve quickly but the initial contour must be set near the feature of the image. An area energy term is thus added to the target function for capturing the image feature in a wider region. By analyzing the greedy algorithm, a local area energy term is constructed and applied in the simplified target function for snake optimization. The experiment results demonstrate that this algorithm is characterized by its rapidity and capacity which can capture the image feature in a wider region and deal with the concave regions properly, and is an effective algorithm for segmenting the left ventricle MRI.
Keywords:active contour  greedy algorithm  local area energy  MRI segmentation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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