项目名称: 基于最优控制与滤波理论的快速磁共振成像关键技术研究
项目编号: No.61273043
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 自动化技术、计算机技术
项目作者: 杨然
作者单位: 中山大学
项目金额: 84万元
中文摘要: 磁共振成像(MRI)因分辨率高、无放射线辐射、观测角度灵活等优点,是最高端最具前景的影像学技术,但扫描速度慢是困扰其发展的瓶颈问题。因此"快速磁共振成像"成为该领域研究的一致目标,主要实现途径有1)减少采样数据; 2)提高静磁场的场强。 本项目将针对这两个途径各自的关键核心技术"压缩感知磁共振成像"和"多源并行激励射频脉冲设计",创新性地从控制学、信息学的视角来展开研究。通过发展基于信号先验信息的压缩感知理论,设计最优采样轨迹,并给出算法误差分析。此外创新性地引入混沌采样轨迹,并提出基于最优滤波压缩感知MRI成像算法。 同时还将并行激励射频脉冲设计问题转化为一个带约束最优控制问题,并运用最新非线性理论方法给出有效算法,保证了最优设计性能及射频脉冲的严格安全性,根本解决了抗电阴影和因局部射频热限制扫描速度的高场MRI关键技术问题。必将有效推动高场磁共振和快速磁共振技术的发展。
中文关键词: 快速磁共振;磁共振图像重建;磁共振扫描轨迹;;
英文摘要: Magnetic Resonance Imaging(MRI)is one of the most important and widely used imaging modalities in healthcare and biomedical research. MRI can generate cross-sectional images in any plane with high resolution and good contrast between the different soft tissues without the hazards of ionizing radiation. However, the slow scanning speed hinders the further application of MRI due to severe motion artifacts and low clinical throughtput.And how to speed up the scanning process and achieve fast MRI is the common aim in MRI society which normally can be attempted either by reducing the amount of sampling data or by increasing the field strength of MRI. The purpose of this project is to study two key problems of fast MRI, one is the compressed sensing MRI which is a core technique in MRI aiming at reducing the amount of sampling data, and another is the design of radio frequency (RF) pulses for multi-transmit parallel excitation which is an essential technique of high field MRI. The research of this project will be conducted from control theory and information theory point of view. Firstly we will improve the compressed sensing theory by considering the prior information of signals, and design the best sampling trajectory which is smooth, short with randomly spread sampling points. Also the performance of the image re
英文关键词: fast MRI;MRI image reconstruction;scan trajectory;;