结合导航回波与压缩感知进行运动伪影矫正

doi:10.11938/cjmr20150303

波谱学杂志 ›› 2015, Vol. 32 ›› Issue (3): 419-429.doi: 10.11938/cjmr20150303

结合导航回波与压缩感知进行运动伪影矫正

董芳，王前锋，郑慧，李智敏，杨光，李建奇*

上海市磁共振重点实验室，华东师范大学物理系，上海 200062

收稿日期:2014-08-28 修回日期:2015-07-23 出版日期:2015-09-05 发布日期:2015-09-05
作者简介:董芳(1988-)，女，浙江人，硕士研究生，无线电物理. *通讯联系人：李建奇，电话：021-62223871, E-mail: jqli@phy.ecnu.edu.cn.
基金资助:
国家自然科学基金资助项目(81271533)

Motion Artifacts Correction in MRI with Navigator Echo Combined with Compressed Sensing

DONG Fang，WANG Qian-feng，ZHENG Hui，LI Zhi-ming，YANG Guang，LI Jian-qi*

Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, Shanghai 200062, China

Received:2014-08-28 Revised:2015-07-23 Online:2015-09-05 Published:2015-09-05
About author:*Corresponding author：LI Jian-qi, Tel: +86-021-62223871, E-mail: jqli@phy.ecnu.edu.cn
Supported by:
国家自然科学基金资助项目(81271533)

摘要/Abstract

摘要：

在一定幅度范围内，导航回波可有效追踪刚体运动，用于矫正k空间数据，从而降低运动伪影对图像质量的影响．然而导航回波技术无法很好地矫正大幅度运动以及非刚体运动导致的图像伪影，运动时刻采集到的k空间数据只能舍弃．压缩感知通过非线性规划法，对欠采样数据进行重建，能恢复出原始信号．该文采用伪随机的方式进行数据采集，结合导航回波技术，用压缩感知对未受运动影响的数据进行图像重建，从而减少运动伪影对图像的干扰．该研究为运动伪影的矫正提供了一种新思路．

关键词: 磁共振成像(MRI), 运动伪影, 导航回波, 压缩感知

Abstract:

In MRI, rigid-body motion with limited amplitude can be tracked effectively by using navigator echo, and then corrected with the information provided by the navigator echo. However, tracking and correction of large and/or non-rigid motion artifact by means of navigator echo could be problematic. Images with a sparse representation in a given domain can be accurately reconstructed from undersampled datasets by using nonlinear reconstruction algorithms, such as compressed sensing. In this study, we developed an imaging technique using pseudo-random k-space trajectory for acquisition combined with motion tracking by navigator echo. After discarding the motion corrupted lines in k-space, the randomly undersampled dataset was reconstructed using compressed sensing. Experimental results demonstrated that good image quality can be obtained with this technique even in the presence of large non-rigid motions.

Key words: MRI, motion artifacts, navigator echo, compressed sensing

中图分类号:

O482.53

董芳，王前锋，郑慧，李智敏，杨光，李建奇*. 结合导航回波与压缩感知进行运动伪影矫正[J]. 波谱学杂志, 2015, 32(3): 419-429.

DONG Fang，WANG Qian-feng，ZHENG Hui，LI Zhi-ming，YANG Guang，LI Jian-qi*. Motion Artifacts Correction in MRI with Navigator Echo Combined with Compressed Sensing[J]. Chinese Journal of Magnetic Resonance, 2015, 32(3): 419-429.

参考文献

[1] Miller K L, Pauly J M. Nonlinear phase correction for navigated diffusion imaging[J]. Magn Reson Med, 2003, 50(2): 343－353.

[2] Mori S, Van Zijl P C. A motion correction scheme by twin-echo navigation for diffusion-weighted magnetic resonance imaging with multiple RF echo acquisition[J]. Magn Reson Med, 1998, 40(4): 511－516.

[3] Fu Z W, Wang Y, Grimm R C, et al. Orbital navigator echoes for motion measurements in magnetic resonance imaging[J]. Magn Reson Med, 1995, 34(5): 746－753.

[4] Hu X, Kim S G. Reduction of signal fluctuation in functional MRI using navigator echoes[J]. Magn Reson Med, 1994, 31(5): 495－503.

[5] Wang Qian-feng(王前锋), Li Jian-qi(李建奇), Wu Dong-mei(吴东梅), et al. Implementation of high resolution diffusion weighted imaging of small animal in clinical MRI system(小动物高分辨扩散加权成像在临床 MRI 上的实现)[J]. Chinese J Magn Reson(波谱学杂志), 2012, 29(3): 372－378.

[6] Dong Fang(董芳), Pei Meng-chao(裴梦超), Wang Qian-feng(王前锋), et al. Gradient echo imaging of the human brain: respiratory induced artifacts and navigator echo correction(颅脑梯度回波成像：呼吸伪影和导航回波矫正)[J]. Chinese J Magn Reson(波谱学杂志), 2014, 31(3): 321－330.

[7] van der Kouwe A J, Benner T, Dale A M. Real-time rigid body motion correction and shimming using cloverleaf navigators[J]. Magn Reson Med, 2006, 56(5): 1 019－1 032.

[8] Anderson A W, Gore J G. Analysis and correction of motion artifacts in diffusion-weighted imaging[J]. Magn Reson Med, 1994, 32(2): 379－387.

[9] Donoho D L, Compressed sensing[J]. IEEE T Inform Theor, 2006, 52(4): 1 289－1 306.

[10] Candès E, Romberg J. Sparsity and incoherence in compressive sampling[J]. Inverse Prob, 2007, 23(3): 969－985.

[11] Candès E, Wakin M. An introduction to compressive sampling[J]. IEEE Signal Proc Mag, 2008, 25(2): 21－30.

[12] Lustig M, Donoho D, Pauly J M. Sparse MRI: The application of compressed sensing for rapid MR imaging[J]. Magn Reson Med, 2007, 58(6): 1 182－1 195.

[13] Lustig M, Donoho D L, Santos J M, et al. Compressed sensing MRI[J]. IEEE Signal Proc Mag, 2008, 25(2): 72－78.

[14] Gao Ming-sheng(高明生), Xie Hai-bin(谢海滨), Yan Xu(严序), et al. Selective dual-direction sequenential compressed sensing for dynamic MR imaging(用于动态磁共振成像的选择性双向顺序压缩感知重建)[J]. Chinese J Magn Reson(波谱学杂志), 2013, 30(2): 194－203.

[15] Liang D, DiBella E V R, Chen R R, et al. K-t ISD: Dynamic cardiac MR imaging using compressed sensing with iterative support detection[J]. Magn Reson Med, 2012, 68(1): 41－53.

[16] Barral J K, Nishimura D G. Compressed Sensing for Motion Artifact Reduction[C]. Proc Intl Soc Mag Reson Med, 2009, 17(4): 4 593.

[17] Haldar J P, Hernando D, Liang Z P. Compressed-sensing MRI with random encoding[J]. IEEE T Inform Theor, 2011, 30(4): 893－903.

结合导航回波与压缩感知进行运动伪影矫正

Motion Artifacts Correction in MRI with Navigator Echo Combined with Compressed Sensing

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	魏国境, 易佩伟, 陶泉, 冯衍秋. CEST成像不同量化方式在急性帕金森氏病小鼠模型研究中的应用比较[J]. 波谱学杂志, 2019, 36(2): 195-207.
[2]	黄朝晖, 张志, 陈黎, 陈俊飞, 张震, 陈方, 刘朝阳. MRI梯度预加重模块的分时复用设计[J]. 波谱学杂志, 2018, 35(4): 465-474.
[3]	柴青焕, 苏冠群, 聂生东. 双树小波变换与小波树稀疏联合的低场CS-MRI算法[J]. 波谱学杂志, 2018, 35(4): 486-497.
[4]	刘颖, 宋明辉, 王坤, 章浩伟. 基于全可编程SoC和LabVIEW的磁共振接收系统设计[J]. 波谱学杂志, 2018, 35(4): 475-485.
[5]	汪红志, 赵地, 杨丽琴, 夏天, 周皛月, 苗志英. 基于AI+MRI的影像诊断的样本增广与批量标注方法[J]. 波谱学杂志, 2018, 35(4): 447-456.
[6]	陈海燕, 赵世龙, 李晓南, 刘国强, 胡丽丽, 刘弢. 低场永磁体磁共振射频场映像[J]. 波谱学杂志, 2018, 35(4): 498-504.
[7]	陶泉, 易佩伟, 魏国境, 冯衍秋. 基于CEST机制的pH成像方法、原理和应用[J]. 波谱学杂志, 2018, 35(4): 505-519.
[8]	翟国强, 张苗, 薄斌仕, 王乙, 范明霞, 李建奇. 基于复值和模值的肝脏磁共振水脂分离组合算法[J]. 波谱学杂志, 2018, 35(4): 417-426.
[9]	张波, 谢海滨, 严序, 李文静, 杨光. 旋转不变的非局域均值算法在磁共振图像去噪中的应用[J]. 波谱学杂志, 2018, 35(2): 162-169.
[10]	崔妍, 肖亮. 磁共振成像谱仪B₀信号的高精度发生与测试[J]. 波谱学杂志, 2018, 35(2): 170-177.
[11]	孙炜航, 孙钰, 汪丰, 王超洪, 杨涛. 变延迟进动定制激发(DANTE)序列在工程中的优化设计[J]. 波谱学杂志, 2018, 35(2): 150-161.
[12]	马芸, 郭虹, 王秋实, 张伟国, 吴昊. 基于影像的形态学特征与胶质母细胞瘤特征分子表达的相关性研究[J]. 波谱学杂志, 2018, 35(1): 22-30.
[13]	黄丽洁, 宋阳, 赵献策, 谢海滨, 吴东梅, 杨光. 一种结合并行成像和压缩感知的快速磁共振成像新方法[J]. 波谱学杂志, 2018, 35(1): 31-39.
[14]	罗庆, 张成秀, 李文静, 郑慧, 谢海滨, 杨光. 一种新的磁共振图像处理流水线的设计与实现[J]. 波谱学杂志, 2018, 35(1): 40-51.
[15]	宋瑞, 何砚发, 张波. 一种永磁磁共振中磁体涡流场的测量方法[J]. 波谱学杂志, 2018, 35(1): 52-59.