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Compressed sensing MRI: a review from signal processing perspective.
BMC Biomedical Engineering Pub Date : 2019-03-29 , DOI: 10.1186/s42490-019-0006-z
Jong Chul Ye 1
Affiliation  

Magnetic resonance imaging (MRI) is an inherently slow imaging modality, since it acquires multi-dimensional k-space data through 1-D free induction decay or echo signals. This often limits the use of MRI, especially for high resolution or dynamic imaging. Accordingly, many investigators has developed various acceleration techniques to allow fast MR imaging. For the last two decades, one of the most important breakthroughs in this direction is the introduction of compressed sensing (CS) that allows accurate reconstruction from sparsely sampled k-space data. The recent FDA approval of compressed sensing products for clinical scans clearly reflect the maturity of this technology. Therefore, this paper reviews the basic idea of CS and how this technology have been evolved for various MR imaging problems.

中文翻译:

压缩感测MRI:从信号处理的角度进行回顾。

磁共振成像(MRI)是一种固有的慢速成像方式,因为它通过一维自由感应衰减或回声信号来获取多维k空间数据。这通常限制了MRI的使用,特别是对于高分辨率或动态成像。因此,许多研究者已经开发出各种加速技术以允许快速MR成像。在过去的二十年中,该方向上最重要的突破之一就是引入了压缩传感(CS),该技术可以根据稀疏采样的k空间数据进行准确的重建。FDA最近对用于临床扫描的压缩传感产品的批准清楚地反映了该技术的成熟度。因此,本文回顾了CS的基本概念,以及该技术如何针对各种MR成像问题而发展。
更新日期:2020-04-22
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