Echo signals in different regions in the k-space of magnetic resonance imaging (MRI) data possess different amplitudes. The signal-to-noise ratio (SNR) of a received signal can be improved by differentially setting the receiving gain (RG) parameter in different areas of the k-space. Previously, the k-space data splicing method and the gain normalization implementation method were not specifically investigated; however, this study focuses on this aspect. Specifically, to improve the SNR, three RGs and MRI scans are herein designed for each gain parameter using the gradient echo sequence to obtain one group of k-space data. Subsequently, the three groups of experimental k-space data obtained using MRI scans are spliced into one group of k-space data. For the splicing process, a method for gain and phase correction and compensation is developed that normalizes different RG parameters in the k-space. The experimental results indicate that the developed methods improve the SNR by 5–13%. When the RGs are set to other combinations, the k-space data splicing and gain normalization methods presented in this paper are still applicable.

中文翻译：

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在 K 空间中具有不同接收增益的基于 RI 的图像信噪比增强

磁共振成像 (MRI) 数据的 k 空间中不同区域的回波信号具有不同的幅度。接收信号的信噪比 (SNR) 可以通过在 k 空间的不同区域中不同地设置接收增益 (RG) 参数来提高。之前对k空间数据拼接方法和增益归一化实现方法没有具体研究；然而，本研究侧重于这一方面。具体地，为了提高信噪比，这里针对每个增益参数设计了三个RG和MRI扫描，使用梯度回波序列来获得一组k空间数据。随后，将使用 MRI 扫描获得的三组实验 k 空间数据拼接成一组 k 空间数据。对于拼接过程，开发了一种用于增益和相位校正和补偿的方法，可对 k 空间中的不同 RG 参数进行归一化。实验结果表明，所开发的方法将 SNR 提高了 5-13%。当RGs设置为其他组合时，本文提出的k空间数据拼接和增益归一化方法仍然适用。