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MRI梯度预加重模块的分时复用设计
引用本文: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.
作者姓名:黄朝晖  张志  陈黎  陈俊飞  张震  陈方  刘朝阳
作者单位: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;中国科学院大学,北京 100049;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
基金项目: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).
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.

关 键 词:磁共振成像(MRI)  现场可编程门阵列(FPGA)  梯度预加重  分时复用
收稿时间:2018-04-19

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.A Time-Division Multiplexing Design for Gradient Preemphasis Module in Magnetic Resonance Imaging Scanner[J].Chinese Journal of Magnetic Resonance,2018,35(4):465-474.
Authors:HUANG Zhao-hui  ZHANG Zhi  CHEN Li  CHEN Jun-fei  ZHANG Zhen  CHEN Fang  LIU Chao-yang
Affiliation: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
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.
Keywords:magnetic resonance imaging (MRI)  field programmable gate array (FPGA)  gradient preemphasis  time-division multiplexing  
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