Signal-to-noise ratio and parallel Imaging performance of a 16-channel receive-only brain coil array at 3.0 Tesla
Signal-to-noise ratio and parallel Imaging performance of a 16-channel receive-only brain coil array at 3.0 Tesla
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DOI：
10.1002/mrm.10678
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发表时间：
2004-01-01
影响因子：
3.3
通讯作者：
Duyn, JH
中科院分区：
文献类型：
--
作者：
de Zwart, JA;Ledden, PJ;Duyn, JH
使用定制的 16 通道接收器研究了用于 3.0 特斯拉大脑成像的 16 通道仅接收射频线圈的性能。对灵敏度编码 (SENSE) 并行成像应用中的图像信噪比 (SNR) 和噪声放大（g 因子）进行了定量评估。此外，通过在图像重建过程中组合软件中的通道，将性能与具有一、二、四和八元件 (n) 的假设线圈的性能进行了比较。正如预期的那样，g 因子和 SNR 随着 n 的增加而显着改善。与等效（模拟）单元件线圈相比，16 通道线圈的大脑 SNR 平均提高了 1.87 倍。这主要是由于大脑周围的 SNR 增加（SNR 增加了三倍），而大脑中心的 SNR 增加了 4%。当 n 较大时，增量 SNR 增益变得相对较小，当 n 从 8 增加到 16 时，观察到增益为 9%。与（较大的）产品鸟笼式头部线圈相比，中心的 SNR 增加了近 2 倍，大脑外围的 SNR 增加了 6 倍。对于低 SENSE 加速度（速率 2），g 因子在 n > 4 时趋于平稳，并且从 n = 8 到 n = 16 仅略有改善（大脑平均提高 1.4%）。对于较高的加速度，n > 8 的 g 改进更大，速率 3 的改进平均为 12.0%。 2003 年出版 Wiley-Liss, Inc.
The performance of a 16-channel receive-only RF coil for brain imaging at 3.0 Tesla was investigated using a custom-built 16-channel receiver. Both the image signal-to-noise ratio (SNR) and the noise amplification (g-factor) in sensitivity-encoding (SENSE) parallel imaging applications were quantitatively evaluated. Furthermore, the performance was compared with that of hypothetical coils with one, two, four, and eight elements (n) by combining channels in software during image reconstruction. As expected, both the g-factor and SNR improved substantially with n. Compared to an equivalent (simulated) single-element coil, the 16-channel coil showed a 1.87-fold average increase in brain SNR. This was mainly due to an increase in SNR in the peripheral brain (an up to threefold SNR increase), whereas the SNR increase in the center of the brain was 4%. The incremental SNR gains became relatively small at large n, with a 9% gain observed when n was increased from 8 to 16. Compared to the (larger) product birdcage head coil, SNR increased by close to a factor of 2 in the center, and by up to a factor of 6 in the periphery of the brain. For low SENSE acceleration (rate-2), g-factors leveled off for n > 4, and improved only slightly (1.4% averaged over brain) going from n = 8 to n = 16. Improvements in g for n > 8 were larger for higher acceleration rates, with the improvement for rate-3 averaging 12.0%. Published 2003 Wiley-Liss, Inc.