研究论文

MRI梯度预加重模块的分时复用设计

  • 黄朝晖 ,
  • 张志 ,
  • 陈黎 ,
  • 陈俊飞 ,
  • 张震 ,
  • 陈方 ,
  • 刘朝阳
展开
  • 1. 波谱与原子分子物理国家重点实验室, 武汉磁共振中心, 中国科学院生物磁共振分析重点实验室(中国科学院 武汉物理与数学研究所), 湖北 武汉 430071;
    2. 中国科学院大学, 北京 100049

收稿日期: 2018-04-19

  网络出版日期: 2018-05-18

基金资助

国家重大科研装备研制项目(ZDYZ2010-2);国家重大科研仪器研制项目(81627901);国家自然科学基金青年科学基金资助项目(11705274);中国科学院科研装备研制项目(YZ201677,YZ201551).

A Time-Division Multiplexing Design for Gradient Preemphasis Module in Magnetic Resonance Imaging Scanner

  • HUANG Zhao-hui ,
  • ZHANG Zhi ,
  • CHEN Li ,
  • CHEN Jun-fei ,
  • ZHANG Zhen ,
  • CHEN Fang ,
  • LIU Chao-yang
Expand
  • 1. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, CAS Key Laboratory of Bio-Magnetic Resonance Analysis(Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences), Wuhan 430071, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2018-04-19

  Online published: 2018-05-18

摘要

为获得更优的成像质量和更快的成像速度,磁共振成像(MRI)系统的梯度预加重模块需要具有更多的补偿通道和调节参数,常规预加重模块的设计方案使现场可编程门阵列(FPGA)面临巨大的资源消耗.为解决高性能梯度预加重模块的资源消耗大的问题,本文提出了一种基于分时复用技术的梯度预加重实现方案,以常规方案1/44的资源实现了11通道×4组参数的梯度预加重模块.将该模块用于0.35 T MRI系统,测试了补偿前后的涡流曲线和磁共振图像,结果表明该模块有效降低了系统的涡流,减小了磁共振图像中的涡流伪影.

本文引用格式

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 . DOI: 10.11938/cjmr20182638

Abstract

In magnetic resonance imaging (MRI), a gradient preemphasis module with more compensation channels and adjustable parameters is often desired for better imaging quality and faster imaging speed. With the conventional design, however, a high performance preemphasis module often requires high resource consumption such that the field programmable gate array (FPGA) may encounter huge resource overhead. In this study, a new gradient preemphasis implementation scheme based on time-division multiplexing was proposed. With the new design, an 11 channels×4 sets of parameters implementation could be achieved with only 1/44 of the resources required by the conventional scheme. To test the performance of the new implementation, eddy current curves and magnetic resonance images before and after preemphasis compensation were measured on a 0.35 T scanner and compared. The results demonstrated that the module could effectively reduce eddy currents and related artifacts on the images.

参考文献

[1] 赵喜平. 磁共振成像系统的原理及其应用[M]. 北京:科学出版社, 2000.
[2] 谢兆媛, 李鲠颖. 具有模拟预加重的梯度波形发生器[C]//中国物理学会波谱专业委员会:第十五届全国波谱学学术会议论文摘要集. 2008.
[3] XU Q, WANG H, JIANG Y, et al. A digital preemphasis gradient waveform generator for magnetic resonance imaging[J]. Chinese J Magn Reson, 2006, 23(1):11-16. 徐勤, 王鹤, 蒋瑜, 等. 一种具有数字预加重的磁共振成像梯度波形发生器[J]. 波谱学杂志, 2006, 23(1):11-16.
[4] PAN W Y, ZHANG F, LUO H, et al. Design of high performance DSP-based gradient calculation module for MRI[J]. Chinese Journal of Medical Lnstrumentation, 2011, 35(3):189-193. 潘文宇, 张富, 罗海, 等. 一种基于高性能DSP的MRI梯度计算模块设计[J]. 中国医疗器械杂志, 2011, 35(3):189-193.
[5] TANG W N, WANG W M. Highly integrated gradient pulse generator for magnetic resonance imaging system[J]. Concept Magn Reson B, 2011, 39B(2):59-63.
[6] KING K F, ZHOU X H J. Handbook of MRI pulse sequences[M]. Burlington:Elsevier Academic Press, 2004.
[7] VAALS J J V, BERGMAN A H. Optimization of eddy-current compensation[J]. J Magn Reson, 1990, 90(1):52-70.
[8] COORA F J, COLPITTS B G, BALCOM B J. Arbitrary magnetic field gradient waveform correction using an impulse response based pre-equalization technique[J]. J Magn Reson, 2014, 238:70-76.
[9] 张志. 分布式多通道高场MRI控制系统的研究与实现[D]. 武汉:中国科学院武汉物理与数学研究所, 2015.
[10] HE Y G, FENG J W, ZHANG Z, et al. Development of pulsed dynamic nuclear polarization for enhancing NMR and MRI[J]. Chinese J Magn Reson, 2015, 32(2):393-398. 贺玉贵, 冯继文, 张志, 等. 脉冲动态核极化增强的NMR和MRI系统研究[J]. 波谱学杂志, 2015, 32(2):393-398.
[11] HE Y G, ZHANG Z, FENG J W, et al. Simultaneous acquisition of multi-nuclei enhanced NMR/MRI by solution-state dynamic nuclear polarization[J]. Sci China Chem, 2016, 59(7):830-835.
[12] SCHMITHORST V J, DARDZINSKI B J. Automatic gradient preemphasis adjustment:a 15-minute journey to improved diffusion-weighted echo-planar imaging[J]. Magn Reson Med, 2002, 47(1):208-212.
[13] WANG C, ZHOU B, ZHANG Z, et al. Correction of k-space trajectory errors in ultra-short TE imaging[J]. Chinese J Magn Reson, 2016, 33(4):597-608. 王超, 周波, 张志, 等. 超短回波时间成像k空间轨迹失真的校正[J]. 波谱学杂志, 2016, 33(4):597-608.
文章导航

/