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Highly accelerated cardiovascular MR imaging using many channel technology: concepts and clinical applications

机译:使用多种通道技术的高度加速的心血管MR成像:概念和临床应用

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摘要

Cardiovascular magnetic resonance imaging (CVMRI) is of proven clinical value in the non-invasive imaging of cardiovascular diseases. CVMRI requires rapid image acquisition, but acquisition speed is fundamentally limited in conventional MRI. Parallel imaging provides a means for increasing acquisition speed and efficiency. However, signal-to-noise (SNR) limitations and the limited number of receiver channels available on most MR systems have in the past imposed practical constraints, which dictated the use of moderate accelerations in CVMRI. High levels of acceleration, which were unattainable previously, have become possible with many-receiver MR systems and many-element, cardiac-optimized RF-coil arrays. The resulting imaging speed improvements can be exploited in a number of ways, ranging from enhancement of spatial and temporal resolution to efficient whole heart coverage to streamlining of CVMRI work flow. In this review, examples of these strategies are provided, following an outline of the fundamentals of the highly accelerated imaging approaches employed in CVMRI. Topics discussed include basic principles of parallel imaging; key requirements for MR systems and RF-coil design; practical considerations of SNR management, supported by multi-dimensional accelerations, 3D noise averaging and high field imaging; highly accelerated clinical state-of-the art cardiovascular imaging applications spanning the range from SNR-rich to SNR-limited; and current trends and future directions.
机译:心血管磁共振成像(CVMRI)在心血管疾病的非侵入性成像中具有公认的临床价值。 CVMRI需要快速的图像采集,但是传统MRI的采集速度从根本上受到限制。并行成像提供了一种提高采集速度和效率的方法。但是,信噪比(SNR)的限制以及大多数MR系统上可用的接收器通道数量有限,过去都施加了实际限制,这要求在CVMRI中使用中等加速度。通过多接收器MR系统和多元素,心脏优化的RF线圈阵列,实现了以前无法实现的高水平加速度。从提高空间和时间分辨率到有效的整个心脏覆盖范围,再到简化CVMRI工作流程,可以通过多种方式利用所得的成像速度提高。在这篇综述中,提供了这些策略的示例,并概述了CVMRI中采用的高度加速成像方法的基本原理。讨论的主题包括并行成像的基本原理; MR系统和RF线圈设计的关键要求;多维加速,3D噪声平均和高场成像支持的SNR管理的实际考虑;高度加速的临床最新心血管成像应用,范围从丰富的SNR到SNR受限的范围;以及当前趋势和未来方向。

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