Left Ventricle MRI Segmentation Based on Active Contour Model

ZHANG Jian-wei; FANG Lin; CHEN Yun-jie; ZHAN Tian-ming; LI Xiao-tian

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Left Ventricle MRI Segmentation Based on Active Contour Model

更新时间：2025-07-16

- Left Ventricle MRI Segmentation Based on Active Contour Model
- Acta Electronica Sinica Vol. 39, Issue 11, Pages: 2670-2673(2011)
- 作者机构：
  
  1. 南京信息工程大学数理学院,江苏,南京,210044
  2. 南京理工大学计算机科学与技术学院,江苏,南京,210094
  3. 南京信息工程大学数理学院江苏南京,210044
  4. 南京理工大学计算机科学与技术学院江苏南京,210094
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2011
- 稿件说明：
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ZHANG Jian-wei, FANG Lin, CHEN Yun-jie, et al. Left Ventricle MRI Segmentation Based on Active Contour Model[J]. Acta Electronica Sinica, 2011, 39(11): 2670-2673.
DOI：

ZHANG Jian-wei, FANG Lin, CHEN Yun-jie, et al. Left Ventricle MRI Segmentation Based on Active Contour Model[J]. Acta Electronica Sinica, 2011, 39(11): 2670-2673. DOI：

摘要

本文提出一种基于局部与全局特征的活动轮廓模型左心室MR图像分割算法.该算法融合了图像局部信息和全局信息.局部信息包含了图像局部均值和方差信息

来克服图像灰度不均匀的影响.全局信息则较好地提高模型处理图像弱边界的能力

并防止模型陷入局部最优.实验结果表明

改进算法分割出较为精确的心脏左心室MR图像.

Abstract

Left ventricle MRI segmentation active contour model based on local and global features was presented in this paper.The local fitting term contained means and variances of local region

overcame the influence of intensity inhomogeneities.The global intensity fitting term

which conquered the unexpected local minimum stemming from image local intensity and deals with weak.The experiment results demonstrate that the algorithm is effective for segmenting the left ventricle MR images.

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