Purpose Proton (¹H)-MRSI via spatial-spectral encoding poses high demands on gradient hardware at ultra-high fields and high-resolutions. Rosette trajectories help alleviate these problems, but at reduced SNR-efficiency due to their k-space densities not matching any desired k-space filter. We propose modified rosette trajectories, which more closely match a Hamming filter, and thereby improve SNR performance while still staying within gradient hardware limitations and without prolonging scan time.

中文翻译：

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使用蛋形改良花环 K 空间轨迹在人脑中进行 7T 的无质子感应衰变 MRSI

目的通过空间光谱编码的质子 ( ¹ H)-MRSI 对超高场和高分辨率的梯度硬件提出了很高的要求。 Rosette 轨迹有助于缓解这些问题，但由于其 k 空间密度与任何所需的 k 空间滤波器不匹配，从而降低了 SNR 效率。我们提出了修改后的玫瑰花轨迹，它更接近汉明滤波器，从而提高 SNR 性能，同时仍然保持在梯度硬件限制内，并且不会延长扫描时间。