Biomed. Magnetic Resonance Lab., Ilinois Univ., Urbana, IL.
IEEE Trans Med Imaging. 1991;10(2):132-7. doi: 10.1109/42.79470.
The problem of precise spatial localization of spectral information in magnetic resonance (MR) spectroscopic imaging is addressed. A novel method, called GSLIM (generalized spectral location by imaging), is proposed to make possible the marriage of high-resolution proton imaging with spectroscopic imaging and localization. This method improves on the conventional Fourier series inversion method used in chemical shift imaging (CSI) and the compartmental modeling method used in SLIM by using a generalized series framework for optimal representation of the spectral function. In this way, a priori information extracted from proton imaging can be used, as in SLIM, and the robustness and data consistency of CSI are also retained. Simulation results show that GSLIM can significantly reduce spectral leakage in CSI and inhomogeneity errors in SLIM. It can also reveal compartmental inhomogeneities, and can easily be extended to handle other a priori constraints when necessary. This approach, with some further development, may achieve an optimal combination of sensitivity, quantitative accuracy, speed, and flexibility for in vivo spectroscopy.
本文解决了磁共振（MR）波谱成像中光谱信息精确定位的问题。提出了一种新的方法，称为 GSLIM（通过成像进行广义光谱定位），使得高分辨率质子成象与波谱成象和定位相结合成为可能。该方法通过使用广义级数框架来优化光谱函数的表示，改进了化学位移成象（CSI）中使用的传统傅立叶级数反演方法和 SLIM 中使用的分室建模方法。这样，就可以像在 SLIM 中那样使用从质子成象中提取的先验信息，同时保留 CSI 的稳健性和数据一致性。模拟结果表明，GSLIM 可以显著减少 CSI 中的光谱泄漏和 SLIM 中的非均匀性误差。它还可以揭示分室不均匀性，并且在需要时可以轻松扩展以处理其他先验约束。这种方法，如果进一步发展，可能会为体内波谱学实现灵敏度、定量准确性、速度和灵活性的最佳组合。
