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Updated: Jun 29, 2025

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
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基于模型的H MRS数据的频率和相位校正,使用2D线性组合建模

Dunja Simicic1,2, Helge J Zöllner1,2, Christopher W Davies-Jenkins1,2

  • 1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States.

bioRxiv : the preprint server for biology
|April 8, 2024
PubMed
概括

使用2D线性组合建模 (2D-LCM) 的新型基于模型的频率和相位校正 (FPC) 方法改善了MR光谱的代谢物估计,特别是在低信号与噪声比率 (SNR) 的情况下. 这种方法比传统方法提供了更高的准确性和精度.

关键词:
频率和相位校正的调整磁共振光谱学 磁共振光谱学频谱注册 频谱注册 频谱注册这是一个二维线性组合模型.

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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