在 1.5T 临床扫描仪上进行活体脑 MRS 扫描:优化衍生快速傅立叶变换,从有水抑制和无水抑制的时间信号编码中获得高分辨率光谱

IF 1.7 3区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY
Dževad Belkić, Karen Belkić
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引用次数: 0

摘要

我们研究了一名 25 岁健康男性志愿者脑白质的单体素活体质子磁共振波谱(MRS)。在弱磁场(1.5T)的临床扫描仪上,对长度较短(0.5KB)的自由感应衰减(FID)数据进行了长回波时间(272 毫秒)编码,其中有水抑制和无水抑制。对于这些 FID,快速傅立叶变换(FFT)给出了稀疏、粗糙和无代谢信息的频谱。在这种光谱中,分辨率和信噪比(SNR)都很低。对 FID 进行指数或高斯滤波可提高 FFT 光谱的信噪比,但代价是分辨率降低。这对活体 MRS 有不利影响,因为对于活体 MRS 来说,光谱的分辨率和信噪比都需要非常好或出色,而不一定要使用更强的磁场。通过优化的导数快速傅里叶变换(dFFT),这一长期追求的目标终于可以实现了,dFFT 在信号估计的各个方面都大大优于 FFT。优化的 dFFT 同时提高了导数频谱的分辨率和信噪比。目前的研究表明,无论在 FID 编码过程中是否抑制了水分,它们的质量都相当高。由此带来的临床最大好处包括大大缩短了病人的检查时间。由于成本效益明显提高,全世界越来越多的医院都能负担得起在低场临床扫描仪(1.5T)上进行的活体 MRS 扫描。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

In vivo brain MRS at a 1.5T clinical scanner: Optimized derivative fast Fourier transform for high-resolution spectra from time signals encoded with and without water suppression

In vivo brain MRS at a 1.5T clinical scanner: Optimized derivative fast Fourier transform for high-resolution spectra from time signals encoded with and without water suppression

We study single-voxel in vivo proton magnetic resonance spectroscopy (MRS) of white matter in the brain of a 25 year old healthy male volunteer. The free induction decay (FID) data of short length (0.5KB) are encoded at a long echo time (272 ms) with and without water suppression at a clinical scanner of a weak magnetic field (1.5T). For these FIDs, the fast Fourier transform (FFT) gives sparse, rough and metabolically uninformative spectra. In such spectra, resolution and signal to noise ratio (SNR) are poor. Exponential or Gaussian filters applied to the FIDs can improve SNR in the FFT spectra, but only at the expense of the worsened resolution. This impacts adversely on in vivo MRS for which both resolution and SNR of spectra need to be very good or excellent, without necessarily resorting to stronger magnetic fields. Such a long sought goal is at last within reach by means of the optimized derivative fast Fourier transform (dFFT), which dramatically outperforms the FFT in every facet of signal estimations. The optimized dFFT simultaneously improves resolution and SNR in derivative spectra. They are presently shown to be of comparably high quality irrespective of whether water is suppressed or not in the course of FID encodings. The ensuing benefits of utmost relevance in the clinic include a substantial shortening of the patient examination time. The implied significantly better cost-effectiveness should make in vivo MRS at low-field clinical scanners (1.5T) more affordable to ever larger circles of hospitals worldwide.

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来源期刊
Journal of Mathematical Chemistry
Journal of Mathematical Chemistry 化学-化学综合
CiteScore
3.70
自引率
17.60%
发文量
105
审稿时长
6 months
期刊介绍: The Journal of Mathematical Chemistry (JOMC) publishes original, chemically important mathematical results which use non-routine mathematical methodologies often unfamiliar to the usual audience of mainstream experimental and theoretical chemistry journals. Furthermore JOMC publishes papers on novel applications of more familiar mathematical techniques and analyses of chemical problems which indicate the need for new mathematical approaches. Mathematical chemistry is a truly interdisciplinary subject, a field of rapidly growing importance. As chemistry becomes more and more amenable to mathematically rigorous study, it is likely that chemistry will also become an alert and demanding consumer of new mathematical results. The level of complexity of chemical problems is often very high, and modeling molecular behaviour and chemical reactions does require new mathematical approaches. Chemistry is witnessing an important shift in emphasis: simplistic models are no longer satisfactory, and more detailed mathematical understanding of complex chemical properties and phenomena are required. From theoretical chemistry and quantum chemistry to applied fields such as molecular modeling, drug design, molecular engineering, and the development of supramolecular structures, mathematical chemistry is an important discipline providing both explanations and predictions. JOMC has an important role in advancing chemistry to an era of detailed understanding of molecules and reactions.
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