摘要
压缩感知是基于应用数学的一种创新的信号获取及处理理论,其原理是通过对所采集的信号进行适当域变换得到可压缩信号,直接采集压缩后的信号并利用重构算法实现快速优质信号重建。运用该技术成像不仅具有出色的时间分辨率优势,同时具有满意的空间分辨率,因此近年来其在医学成像领域的应用逐渐成为研究热点。作者在阐述压缩感知理论基本原理的基础上,进一步对其在MRI上的研究现状和发展前景进行综述。
Compressed sensing is an innovative theory of signal acquisition and processing based on the areas of applied mathematics.It works by using the mathematical algorithm to make an appropriate domain transformation for the collected signals and changing them into sparse or compressible signals.Afterwards,gathering the compressed signals directly to reconstruct the original signals at speedy,high quality by the method of the reconstruction algorithm.Due to its excellent temporal resolution advantages and with satisfactory temporal resolution,compressed sensing has become a research focus in the field of medical imaging.This article mainly elaborates in the basic theory of compressed sensing,its application in MRI and prospects for development.
出处
《磁共振成像》
CAS
CSCD
2013年第4期314-320,共7页
Chinese Journal of Magnetic Resonance Imaging
基金
国家自然科学基金重点项目(编号:30930027)
关键词
压缩感知
FOURIER变换
磁共振成像
Compressed Sensing
Fourier transformation
Magnetic resonance imaging
