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NMR Biomed. 2019 Apr;32(4):e3998. doi: 10.1002/nbm.3998. Epub 2018 Oct 15.
2
Probing metabolite diffusion at ultra-short time scales in the mouse brain using optimized oscillating gradients and "short"-echo-time diffusion-weighted MRS.使用优化的振荡梯度和“短”回波时间扩散加权磁共振波谱在小鼠大脑中探测超短时间尺度下的代谢物扩散。
NMR Biomed. 2017 Jan;30(1). doi: 10.1002/nbm.3671. Epub 2016 Nov 28.
3
Multiparametric imaging with heterogeneous radiofrequency fields.多参数成像与异质射频场。
Nat Commun. 2016 Aug 16;7:12445. doi: 10.1038/ncomms12445.
4
Denoising of diffusion MRI using random matrix theory.使用随机矩阵理论对扩散磁共振成像进行去噪
Neuroimage. 2016 Nov 15;142:394-406. doi: 10.1016/j.neuroimage.2016.08.016. Epub 2016 Aug 11.
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Pulsed and oscillating gradient MRI for assessment of cell size and extracellular space (POMACE) in mouse gliomas.用于评估小鼠胶质瘤细胞大小和细胞外间隙的脉冲与振荡梯度磁共振成像(POMACE)
NMR Biomed. 2016 Oct;29(10):1350-63. doi: 10.1002/nbm.3577. Epub 2016 Jul 22.
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In vivo observation and biophysical interpretation of time-dependent diffusion in human white matter.人体白质中时间依赖性扩散的体内观察与生物物理解释
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使用各向异性纤维模型在临床扫描仪上对由振荡梯度自旋回波得出的表面与体积比测量值进行验证。

Validation of surface-to-volume ratio measurements derived from oscillating gradient spin echo on a clinical scanner using anisotropic fiber phantoms.

作者信息

Lemberskiy Gregory, Baete Steven H, Cloos Martijn A, Novikov Dmitry S, Fieremans Els

机构信息

Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, New York, USA.

Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, New York, USA.

出版信息

NMR Biomed. 2017 May;30(5). doi: 10.1002/nbm.3708. Epub 2017 Mar 22.

DOI:10.1002/nbm.3708
PMID:28328013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5501714/
Abstract

A diffusion measurement in the short-time surface-to-volume ratio (S/V) limit (Mitra et al., Phys Rev Lett. 1992;68:3555) can disentangle the free diffusion coefficient from geometric restrictions to diffusion. Biophysical parameters, such as the S/V of tissue membranes, can be used to estimate microscopic length scales non-invasively. However, due to gradient strength limitations on clinical MRI scanners, pulsed gradient spin echo (PGSE) measurements are impractical for probing the S/V limit. To achieve this limit on clinical systems, an oscillating gradient spin echo (OGSE) sequence was developed. Two phantoms containing 10 fiber bundles, each consisting of impermeable aligned fibers with different packing densities, were constructed to achieve a range of S/V values. The frequency-dependent diffusion coefficient, D(ω), was measured in each fiber bundle using OGSE with different gradient waveforms (cosine, stretched cosine, and trapezoidal), while D(t) was measured from PGSE and stimulated-echo measurements. The S/V values derived from the universal high-frequency behavior of D(ω) were compared against those derived from quantitative proton density measurements using single spin echo (SE) with varying echo times, and from magnetic resonance fingerprinting (MRF). S/V estimates derived from different OGSE waveforms were similar and demonstrated excellent correlation with both SE- and MRF-derived S/V measures (ρ  ≥  0.99). Furthermore, there was a smoother transition between OGSE frequency f and PGSE diffusion time when using teffS/V=9/64f, rather than the commonly used t  = 1/(4f), validating the specific frequency/diffusion time conversion for this regime. Our well-characterized fiber phantom can be used for the calibration of OGSE and diffusion modeling techniques, as the S/V ratio can be measured independently using other MR modalities. Moreover, our calibration experiment offers an exciting perspective of mapping tissue S/V on clinical systems.

摘要

在短时表面积与体积比(S/V)极限下进行的扩散测量(米特拉等人,《物理评论快报》。1992年;68:3555)可以将自由扩散系数与扩散的几何限制区分开来。生物物理参数,如组织膜的S/V,可用于非侵入性地估计微观长度尺度。然而,由于临床MRI扫描仪的梯度强度限制,脉冲梯度自旋回波(PGSE)测量对于探测S/V极限并不实用。为了在临床系统上达到这个极限,开发了一种振荡梯度自旋回波(OGSE)序列。构建了两个包含10个纤维束的体模,每个纤维束由具有不同堆积密度的不可渗透排列纤维组成,以实现一系列S/V值。使用具有不同梯度波形(余弦、拉伸余弦和梯形)的OGSE在每个纤维束中测量频率相关的扩散系数D(ω),而D(t)则通过PGSE和受激回波测量来测量。将从D(ω)的通用高频行为得出的S/V值与使用具有不同回波时间的单自旋回波(SE)和磁共振指纹识别(MRF)从定量质子密度测量得出的S/V值进行比较。从不同OGSE波形得出的S/V估计值相似,并且与从SE和MRF得出的S/V测量值都显示出极好的相关性(ρ≥0.99)。此外,当使用teffS/V = 9/64f而不是常用的t = 1/(4f)时,OGSE频率f和PGSE扩散时间之间的过渡更加平滑,这验证了该区域的特定频率/扩散时间转换。我们特征明确的纤维体模可用于OGSE和扩散建模技术的校准,因为S/V比可以使用其他MR模态独立测量。此外,我们的校准实验为在临床系统上绘制组织S/V提供了一个令人兴奋的前景。