基于压缩传感的核磁共振成像综述

A Survey of Magnetic Resonance Imaging Based on Compressed Sensing

核磁共振成像需要满足奈奎斯特采样定理,但采集的信息冗余且耗时,因此限制了其成像速度。寻求少量有效采集数据和不影响图像的重构质量是当前的热点。压缩传感理论可以通过少量非相干测量值重构出原信号,从而减少重构时间。这一性质恰好可以解决核磁共振成像问题,因此基于压缩传感的核磁共振成像是目前主流的研究方法。该文主要介绍了核磁共振成像及压缩传感的基本理论,并对其研究前景进行了探讨。

Magnetic resonance imaging needs to satisfy the Nyquist sampling theorem,but the collected information is redundant and time-consuming,thus limiting its imaging speed.Finding a small amount of effective data collection and without affecting the reconstruction quality of the image is the current hot spot.Compressed sensing theory can reconstruct the original signal with a small amount of incoherent measurements,thereby reducing reconstruction time.This property just can solve the problem of magnetic resonance imaging.Therefore,magnetic resonance imaging based on compressive sensing is currently the mainstream research method.This paper mainly introduces the basic theory of magnetic resonance imaging and compressed sensing,and discusses its research prospects.