| 永磁磁共振扩散加权平面回波成像涡流伪影校正 |
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| 引用本文： | 王艳飞,杨金柱,康雁.永磁磁共振扩散加权平面回波成像涡流伪影校正[J].东北大学学报(自然科学版),2020,41(7):1048-1053. |
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| 作者姓名： | 王艳飞 杨金柱 康雁 |
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| 作者单位： | (1.东北大学 医学与生物信息工程学院， 辽宁 沈阳110169; 2.东北大学 医学影像智能计算教育部重点实验室， 辽宁 沈阳110169；3.东北大学 计算机科学与工程学院， 辽宁 沈阳110169； 4.深圳技术大学 健康与环境工程学院， 广东 深圳518118) |
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| 基金项目： | 国家自然科学基金青年基金资助项目(61602101). |
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| 摘 要： | 研究了涡流对永磁磁共振扩散加权平面回波成像的影响，提出了一种针对永磁磁共振成像系统的涡流补偿算法，并对扩散加权EPI序列由于剩余涡流引起的相位误差提出了一种补偿方法.在0.35T永磁型磁共振成像系统上对算法进行了验证，不同的梯度方向经过涡流预加重补偿后，涡流最少也会降至未补偿前的1/15.对涡流补偿和未补偿的模体扩散加权EPI图像进行了比较，经过两次补偿后，图像几何畸变会降低5%，图像伪影会降低1/3.实验结果表明，所提出的算法可以有效抑制因涡流引起的扩散加权EPI伪影及畸变.
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| 关 键 词： | 磁共振成像 平面回波成像 扩散加权成像 涡流 预加重 |
| 收稿时间： | 2019-09-27 |
| 修稿时间： | 2019-09-27 |
Eddy Currents Artifacts Correction in Diffusion-Weighted Echo-Planar Imaging for Permanent MRI Scanner |
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| WANG Yan-fei,YANG Jin-zhu,KANG Yan.Eddy Currents Artifacts Correction in Diffusion-Weighted Echo-Planar Imaging for Permanent MRI Scanner[J].Journal of Northeastern University(Natural Science),2020,41(7):1048-1053. |
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| Authors: | WANG Yan-fei YANG Jin-zhu KANG Yan |
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| Institution: | 1. College of Medicine and Biomedical Information Engineering， Northeastern University， Shenyang 110169， China; 2. Key Laboratory of Intelligent Computing in Medical Image， Ministry of Education， Northeastern University， Shenyang 110169， China; 3. School of Computer Science & Engineering， Northeastern University， Shenyang 110169， China; 4. College of Health Science and Environmental Engineering， Shenzhen Technology University， Shenzhen 518118， China. |
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| Abstract: | The effect of eddy currents on diffusion-weighted echo-planar imaging(EPI) was investigated for permanent magnetic resonance imaging(MRI) scanner. An automatic eddy currents calibration algorithm was presented， and a compensation method for phase errors caused by residual eddy currents in diffusion-weighted EPI was proposed. The method was tested and validated on a 0.35T permanent magnet MRI scanner.For three different gradient directions after pre-emphasis compensation， the eddy currents reduced to at least 1/15 of that before compensation. The diffusion-weighted EPI images with and without eddy currents compensation were compared. After two times of compensations， the geometric distortion was reduced by 5% and artifacts was reduced by 1/3. The experimental results showed that the proposed algorithm can effectively suppressed the diffusion-weighted EPI artifacts and distortions caused by eddy currents. |
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| Keywords: | MRI(magnetic resonance imaging) EPI(echo-planar imaging) diffusion-weighted imaging eddy currents pre-emphasis |
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