用于磁共振图像灰度校正的CLIC改进模型

doi:10.11938/cjmr20170205

波谱学杂志 ›› 2017, Vol. 34 ›› Issue (2): 164-174.doi: 10.11938/cjmr20170205

用于磁共振图像灰度校正的CLIC改进模型

赵献策¹, 谢海滨^1,2, 郑慧^1,2, 郭天¹, 杨光^1,2

1. 华东师范大学物理系, 上海市磁共振重点实验室, 上海 200062;
2. 上海卡勒幅磁共振技术有限公司, 上海 201614

收稿日期:2016-04-20 修回日期:2017-04-17 出版日期:2017-06-05 发布日期:2017-06-05
通讯作者: 谢海滨,Tel:021-62233873,E-mail:hbxie@phy.ecnu.edu.cn;杨光,Tel:021-62233873,E-mail:gyang@phy.ecnu.edu.cn. E-mail:hbxie@phy.ecnu.edu.cn;gyang@phy.ecnu.edu.cn
基金资助:
国家高技术研究发展计划资助项目（2014AA123400）．

Magnetic Resonance Image Intensity Inhomogeneity Correction Based on Coherent Local Intensity Clustering

ZHAO Xian-ce¹, XIE Hai-bin^1,2, ZHENG Hui^1,2, GUO Tian¹, YANG Guang^1,2

1. Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, Shanghai 200062, China;
2. Shanghai Colorful Magnetic Resonance Technology Co. Ltd., Shanghai 201614, China

Received:2016-04-20 Revised:2017-04-17 Online:2017-06-05 Published:2017-06-05

摘要/Abstract

摘要： 针对磁共振图像中存在的灰度不均匀问题，该文在灰度校正的连贯局部灰度聚类（coherent local intensityclustering，CLIC）模型的基础上，提出一种新的灰度校正算法．该算法通过引入图像边缘信息来更快寻找到组织边界，在CLIC模型中采用较大的高斯窗函数以保证偏场的光滑性，并结合分裂布雷格曼迭代来加速算法．将改进后的算法用于处理模拟和真实的磁共振图像，实验结果表明，使用该算法能够获得比使用CLIC模型更好的效果．

关键词: 磁共振成像(MRI), 灰度不均匀, 连贯局部灰度聚类(CLIC), 分裂布雷格曼迭代

Abstract: We proposed a novel method for correcting intensity inhomogeneity in magnetic resonance images based on the coherent local intensity clustering (CLIC) model. The method used edge information to help identify tissue boundaries. A large Gaussian kernel was used to keep the bias field smooth. Split Bregman iteration was used to accelerate convergence. Phantom and in vivo images were used to evaluate the performance of the proposed method.

Key words: magnetic resonance imaging (MRI), coherent local intensity clustering (CLIC), intensity inhomogeneity, split Bregman iteration

中图分类号:

O482.53

赵献策, 谢海滨, 郑慧, 郭天, 杨光. 用于磁共振图像灰度校正的CLIC改进模型[J]. 波谱学杂志, 2017, 34(2): 164-174.

ZHAO Xian-ce, XIE Hai-bin, ZHENG Hui, GUO Tian, YANG Guang. Magnetic Resonance Image Intensity Inhomogeneity Correction Based on Coherent Local Intensity Clustering[J]. Chinese Journal of Magnetic Resonance, 2017, 34(2): 164-174.

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用于磁共振图像灰度校正的CLIC改进模型

Magnetic Resonance Image Intensity Inhomogeneity Correction Based on Coherent Local Intensity Clustering

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