定量磁化率成像多回波相位拟合算法研究

刘田; 赵欣欣; 薄斌仕; 王乙; 李建奇

doi:10.11938/cjmr20160410

波谱学杂志 >

2016 , Vol. 33 >Issue 4: 609 - 617

DOI: https://doi.org/10.11938/cjmr20160410

研究论文

定量磁化率成像多回波相位拟合算法研究

刘田 ,
赵欣欣 ,
薄斌仕 ,
王乙 ,
李建奇

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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. Department of Radiology, Weill Medical College, Cornell University, Ithaca, New York 10021, USA;
3. Department of Biomedical Engineering, Cornell University, Ithaca, New York 14853, USA

赵欣欣(1990-),女,山东人,硕士研究生,无线电物理专业

收稿日期: 2016-04-04

修回日期: 2016-10-24

网络出版日期: 2016-12-05

基金资助

国家自然科学基金资助项目（81271533）.

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A Phase Fitting Algorithm for Multi-Echo Quantitative Susceptibility Mapping

LIU Tian ,
ZHAO Xin-xin ,
BO Bin-shi ,
WANG Yi ,
LI Jian-qi

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1. Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, Shanghai 200062, China;
2. Department of Radiology, Weill Medical College, Cornell University, Ithaca, New York 10021, USA;
3. Department of Biomedical Engineering, Cornell University, Ithaca, New York 14853, USA

Received date: 2016-04-04

Revised date: 2016-10-24

Online published: 2016-12-05

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摘要

定量磁化率成像（quantitative susceptibility mapping，QSM）技术大多采用多回波梯度回波序列采集相位数据，经加权最小二乘法（weighted linear least-square，WLS）拟合得到局部磁场分布.对于组织磁化率分布不均匀的区域，尤其是颅底部位，常规WLS算法拟合得到的局部磁场误差较大，导致相应部位磁化率分布图信噪比较低.针对常规WLS算法的这一不足，该文提出了一种截断WLS算法.对两种算法拟合得到的磁化率分布图对比研究发现，截断WLS算法可有效提高颅底部位定量磁化率分布图的图像质量，使其噪声明显下降.

关键词： 多回波相位拟合; 加权最小二乘法(WLS); 定量磁化率成像(QSM); 阈值截断

本文引用格式

刘田 , 赵欣欣 , 薄斌仕 , 王乙 , 李建奇 . 定量磁化率成像多回波相位拟合算法研究[J]. 波谱学杂志, 2016 , 33(4) : 609 -617 . DOI: 10.11938/cjmr20160410

Abstract

A weighted linear least-square (WLS) algorithm is generally applied for multi-echo phase data to estimate the voxel-by-voxel field shift, which is further used for inversion of susceptibility map. The fitting error on the estimated field map, induced from conventional WLS method, may lead to artifacts and low signal-to-noise ratio on the susceptibility map, especially in the regions with inhomogeneous distribution of magnetic susceptibility. To improve the accuracy of the estimated field map, a truncated WLS approach was used to truncate the signal of low signal-to-noise ratio and capture the field information before the signal in a voxel decays to the noise level, which can enhance the contrast of structures in the bottom of the brain on the susceptibility map. Experimental studies demonstrated that susceptibility noise was dramatically reduced by method of truncated WLS.

Key words： quantitative susceptibility mapping(QSM); multi-echo phases fitting; threshold truncation; weighted linear least-square(WLS)

参考文献

[1] Wang Y, Liu T. Quantitative susceptibility mapping (QSM):Decoding MRI data for a tissue magnetic biomarker[J]. Magn Reson Med, 2015, 73(1):82-101.
[2] Li W, Wu B, Liu C. Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition[J]. Neuroimage, 2011, 55(4):1645-1656.
[3] Haacke E M, Liu S, Buch S, et al. Quantitative susceptibility mapping:current status and future directions[J]. Magn Reson Imaging, 2015, 33(1):1-25.
[4] Liu C, Li W, Tong K A, et al. Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain[J]. J Magn Reson Imaging, 2015, 42(1):23-41.
[5] Liu T, Khalidov I, de Rochefort L, et al. A novel background field removal method for MRI using projection onto dipole fields (PDF)[J]. NMR Biomed, 2011, 24(9):1129-1136.
[6] Liu J, Liu T, de Rochefort L, et al. Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map[J]. Neuroimage, 2012, 59(3):2560-2568.
[7] de Rochefort L, Liu T, Kressler B, et al. Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization:validation and application to brain imaging[J]. Magn Reson Med, 2010, 63(1):194-206.
[8] Shmueli K, de Zwart J A, van Gelderen P, et al. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data[J]. Magn Reson Med, 2009, 62(6):1510-1522.
[9] Wang A-li(王阿莉), Lin Jian-zhong(林建忠), Liu Wei-jun(刘伟俊), et al. Quantitative susceptibility mapping(定量磁化率成像重建方法及其应用)[J]. Chinese J Magn Reson(波谱学杂志), 2014, 31(1):133-154.
[10] Fritzsch D, Reiss-Zimmermann M, Trampel R, et al. Seven-tesla magnetic resonance imaging in Wilson disease using quantitative susceptibility mapping for measurement of copper accumulation[J]. Invest Radiol, 2014, 49(5):299-306.
[11] Li J Q, Chang S X, Liu T, et al. Phase-corrected bipolar gradients in multi-echo gradient-echo sequences for quantitative susceptibility mapping[J]. Magn Reson Mater Phy, 2015, 28(4):347-355.
[12] Gilbert G, Savard G, Bard C, et al. Quantitative comparison between a multiecho sequence and a single-echo sequence for susceptibility-weighted phase imaging[J]. Magn Reson Imaging, 2012, 30(5):722-730.
[13] Wang Y. Quantitative Susceptibility Mapping:Magnetic Resonance Imaging of Tissue Magnetism[M]. Seattle:Createspace, 2013, p228.
[14] Kressler B, de Rochefort L, Liu T, et al. Nonlinear regularization for per voxel estimation of magnetic susceptibility distributions from MRI field maps[J]. IEEE Trans Med Imaging, 2010, 29(2):273-281.
[15] Murakami Y, Kakeda S, Watanabe K, et al. Usefulness of quantitative susceptibility mapping for the diagnosis of Parkinson disease[J]. Am J Neuroradiol, 2015, 36(6):1102-1108.
[16] Barbosa J H, Santos A C, Tumas V, et al. Quantifying brain iron deposition in patients with Parkinson's disease using quantitative susceptibility mapping, R₂ and R₂^*[J]. Magn Reson Imaging, 2015, 33(5):559-565.
[17] Du G, Liu T, Lewis M M, et al. Quantitative susceptibility mapping of the midbrain in Parkinson's disease[J]. Mov Disord, 2016, 31(3):317-324.
[18] He N, Ling H, Ding B, et al. Region-specific disturbed iron distribution in early idiopathic Parkinson's disease measured by quantitative susceptibility mapping[J]. Hum Brain Mapp, 2015, 36(11):4407-4420.
[19] Hung K W, Siu W C. Improved image interpolation using bilateral filter for weighted least square estimation[C]. Hong Kong:Proceedings to IEEE International Conference on Image Processing, 2010:3297-3330.
[20] Yin X, Shah S, Katsaggelos A K, et al. Improved R₂^* measurement accuracy with absolute SNR truncation and optimal coil combination[J]. NMR Biomed, 2010, 23(10):1127-1136.
[21] Lotfipour A K, Wharton S, Schwarz S T, et al. High resolution magnetic susceptibility mapping of the substantia nigra in Parkinson's disease[J]. J Magn Reson Imaging, 2012, 35(1):48-55.
[22] Lv Z, Jiang H, Xu H, et al. Increased iron levels correlate with the selective nigral dopaminergic neuron degeneration in Parkinson's disease[J]. J Neural Transm, 2011, 118(3):361-369.
[23] Liu T, Wisnieff C, Lou M, et al. Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping[J]. Magn Reson Med, 2013, 69(2):467-476.
[24] Ma J F, Son J B, Hazle J D. An improved region growing algorithm for phase correction in MRI[J]. Magn Reson Med, 2015, doi:10.1002/mrm.25892.
[25] Association N E M. Determination of Signal-to-Noise Ratio (SNR) in Diagnostic Magnetic Resonance Imaging[M]. Rosslyn:National Electrical Manufacturers Association, 2008
[26] Haacke E M, Tang J, Neelavalli J, et al. Susceptibility mapping as a means to visualize veins and quantify oxygen saturation[J]. J Magn Reson Imaging, 2010, 32(3):663-676.
[27] Dong Fang(董芳), Pei Meng-chao(裴孟超), Wang Qian-feng(王前锋), et al. Gradient echo imaging of the human brain:Respiratory induved 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.
[28] Groger A, Berg D. Does structural neuroimaging reveal a disturbance of iron metabolism in Parkinson's disease? Implications from MRI and TCS studies[J]. J Neural Transm, 2012, 119(12):1523-1528.
[29] Chan W C, Tejani Z, Budhani F, et al. R₂^* as a surrogate measure of ferriscan iron quantification in thalassemia[J]. J Magn Reson Imaging, 2014, 39(4):1007-1011.

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