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SNR 优化的相敏双回波 turbo 自旋回波成像:FLAIR 的快速替代方法。

SNR-optimized phase-sensitive dual-acquisition turbo spin echo imaging: a fast alternative to FLAIR.

机构信息

Biomedical Imaging and Engineering Laboratory, Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.

出版信息

Magn Reson Med. 2013 Jul;70(1):106-16. doi: 10.1002/mrm.24444. Epub 2012 Aug 13.

Abstract

Phase-sensitive dual-acquisition single-slab three-dimensional turbo spin echo imaging was recently introduced, producing high-resolution isotropic cerebrospinal fluid attenuated brain images without long inversion recovery preparation. Despite the advantages, the weighted-averaging-based technique suffers from noise amplification resulting from different levels of cerebrospinal fluid signal modulations over the two acquisitions. The purpose of this work is to develop a signal-to-noise ratio-optimized version of the phase-sensitive dual-acquisition single-slab three-dimensional turbo spin echo. Variable refocusing flip angles in the first acquisition are calculated using a three-step prescribed signal evolution while those in the second acquisition are calculated using a two-step pseudo-steady state signal transition with a high flip-angle pseudo-steady state at a later portion of the echo train, balancing the levels of cerebrospinal fluid signals in both the acquisitions. Low spatial frequency signals are sampled during the high flip-angle pseudo-steady state to further suppress noise. Numerical simulations of the Bloch equations were performed to evaluate signal evolutions of brain tissues along the echo train and optimize imaging parameters. In vivo studies demonstrate that compared with conventional phase-sensitive dual-acquisition single-slab three-dimensional turbo spin echo, the proposed optimization yields 74% increase in apparent signal-to-noise ratio for gray matter and 32% decrease in imaging time. The proposed method can be a potential alternative to conventional fluid-attenuated imaging.

摘要

最近引入了一种基于相位敏感的双采集单块三维涡轮自旋回波成像技术,可在无需长反转恢复准备的情况下生成高分辨率各向同性脑脊髓液衰减图像。尽管该技术具有优势,但基于加权平均的技术会因两次采集之间脑脊髓液信号调制水平的不同而导致噪声放大。本研究旨在开发一种基于相位敏感的双采集单块三维涡轮自旋回波的信噪比优化版本。在第一次采集时,使用三步规定信号演化来计算可变重聚焦翻转角,而在第二次采集时,使用两步伪稳态信号跃迁来计算,在回波链的后期采用高翻转角伪稳态,从而平衡两次采集之间脑脊髓液信号的水平。在高翻转角伪稳态期间采集低空间频率信号,以进一步抑制噪声。通过对 Bloch 方程进行数值模拟来评估脑组织沿回波链的信号演化,并优化成像参数。体内研究表明,与传统的基于相位敏感的双采集单块三维涡轮自旋回波相比,该方法可使灰质的表观信噪比提高 74%,成像时间缩短 32%。该方法可能是传统液体衰减成像的一种替代方法。

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