[1]周山雪,谢国喜.基于多通道图像相关性的改进GRAPPA算法[J].深圳大学学报理工版,2013,30(No.2(111-220)):162-166.[doi:10.3724/SP.J.1249.2013.02162]
 Zhou Shanxue and Xie Guoxi.An improved GRAPPA algorithm based on the correlation between multi-coil images[J].Journal of Shenzhen University Science and Engineering,2013,30(No.2(111-220)):162-166.[doi:10.3724/SP.J.1249.2013.02162]
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基于多通道图像相关性的改进GRAPPA算法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第30卷
期数:
2013年No.2(111-220)
页码:
162-166
栏目:
电子与信息科学
出版日期:
2013-03-18

文章信息/Info

Title:
An improved GRAPPA algorithm based on the correlation between multi-coil images
作者:
周山雪12谢国喜2
1) 深圳职业技术学院电子与通信工程学院 深圳 518055
2) 中国科学院深圳先进技术研究院生物医学与健康工程研究所劳特伯医学成像中心,深圳 518055
Author(s):
Zhou Shanxue12 and Xie Guoxi2
1) School of Electronic and Communication Engineering, Shenzhen Polytechnic, Shenzhen 518055, P.R.China
2) Paul C. Lauterbur Reasearch Center for Biomedical Image, Institute of Biomedical and Health Engineering, Shenzhen Institues of Advanced Technology Chinese Academy of Sciences, Shenzhen 518055, P.R.China
关键词:
磁共振成像并行成像全局自动校准部分并行采集相关性成像加速成像图像重建
Keywords:
magnetic resonance imaging partially parallel imaging generalized auto-calibrating partially parallel acquisitions correlation imaging accelerated image image reconstruction
分类号:
R 445.2;TN 911.73
DOI:
10.3724/SP.J.1249.2013.02162
文献标志码:
A
摘要:
针对传统全局自动校准部分并行采集(generalized auto-calibrating partially parallel acquisitions,GRAPPA)算法存在随欠采样倍数增加重建图像质量下降的问题,提出一种改进算法.该算法利用多通道图像间的更多相关信息对传统GRAPPA算法进行改进,突破传统GRAPPA算法仅利用自校准信号进行权重系数估计的局限,并进一步使用已采集数据之间的一般相关性.实验结果表明,改进后的GRAPPA算法能重建出更高质量的磁共振图像.
Abstract:
Conventional GRAPPA (generalized auto-calibrating partially parallel acquisitions) algorithm uses the auto-calibration data of additional acquisition to fit the missing K-space data and reconstruct desired image from a multi-coil under-sampling data set. However, as the acceleration factor increases, reconstruction quality decreases quickly. To address this issue, we propose a new reconstruction algorithm to improve the conventional GRAPPA by taking more correlation information of multi-coil images. It overcomes the limit of conventional GRAPPA which only uses the auto-calibration data to estimate the fitting coefficients. It takes the available relationship of all the data making reconstructed the better-quality image. Experimental results show that the proposed method could provide a better reconstruction than conventional GRAPPA.

参考文献/References:

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备注/Memo

备注/Memo:
Received:2013-02-05;Accepted:2013-03-04
Foundation:National Natural Science Foundation of China(8100061); Nanshan District, Shenzhen Science and Technology Council-funded Projects(South Academy 2009012)
Corresponding author:Associate professor Zhou Shanxue. E-mail: zhoushanxue@szpt.edu.cn
Citation:Zhou Shanxue, Xie Guoxi. An improved GRAPPA algorithm based on the correlation between multi-coil images[J]. Journal of Shenzhen University Science and Engineering, 2013, 30(2): 162-166.(in Chinese)

基金项目:国家自然科学基金资助项目(81000611)
作者简介:周山雪(1962- ),男(汉族),湖南省常德市人,深圳职业技术学院副教授,湖南大学硕士生导师. E-mail:zhoushanxue@szpt.edu.cn
引文:周山雪,谢国喜. 一种基于多通道图像相关性的改进GRAPPA算法[J]. 深圳大学学报理工版,2013,30(2):162-166.
更新日期/Last Update: 2013-03-20