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| 基于参数化互信息的脑MR图像分割与偏移场矫正模型及快速算法 | |
| 引用本文： | 詹天明,张军,韦志辉,肖亮,孙玉宝.基于参数化互信息的脑MR图像分割与偏移场矫正模型及快速算法[J].电子学报,2011,39(12):2807-2812. |
| 作者姓名： | 詹天明 张军 韦志辉 肖亮 孙玉宝 |
| 作者单位： | 1. 南京理工大学计算机科学与技术学院,江苏南京210094;南京理工大学理学院,江苏南京210094 2. 南京理工大学理学院,江苏南京,210094 3. 南京理工大学计算机科学与技术学院,江苏南京,210094 |
| 基金项目： | 国家自然科学基金，高等学校博士点学科点专项基金，南京理工大学资助科研重大专项，南京理工大学自主科研专项计划资助项目 |
| 摘 要： | 脑核磁共振(Magnetic Resonance简称MR)图像中存在灰度不均匀现象使得传统方法很难得到理想的分割与偏移场矫正结果.针对这一问题,本文首先提出Legendre基函数拟合偏移场下的参数化互信息度量,建立脑MR图像的分割与偏移场矫正的变分模型.最后,给出了基于分裂Bregman迭代方法的快速分割与偏移场矫正算... |
| 关 键 词： | 脑核磁共振图像 分割 偏移场矫正 分裂Bregman迭代 |
| 收稿时间： | 2010-08-20 |
Brain Image Segmentation and Bias Field Correction Model Based on Parametric Mutual Information and Fast Algorithm |
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| ZHAN Tian-ming,ZHANG Jun,WEI Zhi-hui,XIAO Liang,SUN Yu-bao.Brain Image Segmentation and Bias Field Correction Model Based on Parametric Mutual Information and Fast Algorithm[J].Acta Electronica Sinica,2011,39(12):2807-2812. | |
| Authors: | ZHAN Tian-ming ZHANG Jun WEI Zhi-hui XIAO Liang SUN Yu-bao |
| Affiliation: | 1. School of Computer Science &; Technology,Nanjing University of Science and Technology,Nanjing,Jiangsu 210094,China;2. School of Science,Nanjing University of Science and Technology,Nanjing,Jiangsu 210094,China |
| Abstract: | Due to the intensity inhomogeneous in brain MR image,it is difficult for the traditional methods to obtain accurate segmentation results.In this paper,by using the bias fitting field with Legendre basis,a new parameterize mutual information metric is firstly proposed,and a unified variational model is proposed for the optimizing of segmentation and bias correction.Finally,we present a fast algorithm based on split Bregman iteration methods.Comparative results demonstrate that our method can obtain more accurate segmentation and bias correction results with a faster convergence rate. |
| Keywords: | brain MR image segmentation bias correction split Bregman iteration |
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