压缩感知技术及其在心脏磁共振中的应用进展

磁共振在心血管疾病诊断与鉴别诊断的应用日益重要,但扫描速度相对较慢,与运动伪影敏感是其主要局限性,在一定程度上限制了其在临床上应用的普及。压缩感知是一种新的信号采集理论,通过欠采样的方式采集信号,信号的稀疏变换、不相干欠采样及非线性重建是其特点。通过结合压缩感知技术使磁共振极大地提高扫描速度,且同时保证不牺牲空间分辨率。因此,在一定程度上它对于心血管磁共振具有独特优势。本文对压缩感知基本原理及其在心脏磁共振的应用价值研究进展予以详细阐述。

Compressed sensing and its application in cardiac magnetic resonance imaging

MRI is becoming more and more important in the diagnosis and differential diagnosis of cardiovascular diseases. However, the relatively slow scanning speed and susceptibility to motion artifacts are the main defects, which limit its clinical application to some extent. Compressed sensing (CS) is a new signal acquisition theory which is founded on the premise of reconstructing an image by acquiring less data through undersampling of k-space. Sparsity, incoherence sampling and nonlinear reconstruction are the necessary conditions for its applications. By combining compressed sensing technology, MRI can greatly improve the scanning speed without sacrificing the spatial resolution at the same time. Therefore, to some extent, it has unique advantages for cardiovascular magnetic resonance (CMR). In this review, the basic principle of compressive sensing and its application in cardiac magnetic resonance are reviewed in detail.