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Pulsed magnetization transfer imaging with body coil transmission at 3 Tesla: feasibility and application.
Magn Reson Med. 2006 Oct;56(4):866-75. doi: 10.1002/mrm.21035.
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DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking.DtiStudio:用于扩散张量计算和纤维束追踪的资源程序。
Comput Methods Programs Biomed. 2006 Feb;81(2):106-16. doi: 10.1016/j.cmpb.2005.08.004. Epub 2006 Jan 18.
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Axial asymmetry of water diffusion in brain white matter.脑白质中水分子扩散的轴向不对称性。
Magn Reson Med. 2005 Oct;54(4):860-7. doi: 10.1002/mrm.20653.
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Diffusion tensor imaging and tractography of distal peripheral nerves at 3 T.3T下远端周围神经的扩散张量成像和纤维束成像
Clin Neurophysiol. 2005 Oct;116(10):2315-23. doi: 10.1016/j.clinph.2005.05.014.
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Inflammation in areas of remote changes following focal brain lesion.局灶性脑损伤后远隔部位改变区域的炎症。
Prog Neurobiol. 2005 Apr;75(5):342-65. doi: 10.1016/j.pneurobio.2005.03.004.
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Interhemispheric asymmetry of brain diffusivity in normal individuals: a diffusion-weighted MR imaging study.正常个体脑扩散率的半球间不对称性:一项扩散加权磁共振成像研究。
AJNR Am J Neuroradiol. 2005 May;26(5):1089-94.
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Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach.使用自助法在扩散张量磁共振成像纤维束成像中进行置信度映射。
Magn Reson Med. 2005 May;53(5):1143-9. doi: 10.1002/mrm.20466.
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Bootstrap white matter tractography (BOOT-TRAC).自引导式白质纤维束成像(BOOT-TRAC)
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High-resolution diffusion tensor imaging of the brain stem at 3 T.3T下脑干的高分辨率扩散张量成像
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Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain.尸检多发性硬化症脑内的磁化传递率与髓磷脂
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3T下皮质脊髓束的定量特征分析

Quantitative characterization of the corticospinal tract at 3T.

作者信息

Reich D S, Smith S A, Jones C K, Zackowski K M, van Zijl P C, Calabresi P A, Mori S

机构信息

Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.

出版信息

AJNR Am J Neuroradiol. 2006 Nov-Dec;27(10):2168-78.

PMID:17110689
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2802715/
Abstract

BACKGROUND AND PURPOSE

White matter tract-specific imaging will probably become a major component of clinical neuroradiology. Fiber tracking with diffusion tensor imaging (DTI) is widely used, but variability is substantial. This article reports the ranges of MR imaging appearance and right-left asymmetry of healthy corticospinal tracts (CST) reconstructed with DTI.

METHODS

For 20 healthy volunteers, whole-brain DTI data were coregistered with maps of absolute T1 and T2 relaxation times and magnetization transfer ratio (MTR), all acquired at 3T. For each individual, the 2 reconstructed CSTs and their asymmetry were analyzed with respect to the number of fibers reconstructed; tract volume; and individual MR imaging parameters restricted to the tracts. Interscan variability was estimated by repeat imaging of 8 individuals.

RESULTS

Reconstructed fiber number and tract volume are highly variable, rendering them insensitive to abnormalities in disease. Individual tract-restricted MR imaging parameters are more constrained, and their population averages and normal ranges are reported. The average population asymmetry is generally zero; therefore, normal ranges for an index of asymmetry are reported. By way of example, CST-restricted MR imaging parameters and their asymmetries are shown to be abnormal in an individual with multiple sclerosis who had a lesion affecting the CST.

CONCLUSIONS

The results constitute a normative dataset for the following imaging parameters of the CST: T1, T2, MTR, fractional anisotropy, mean diffusivity, transverse diffusivity, and the 3 diffusion tensor eigenvalues. These data can be used to identify, characterize, and establish the significance of changes in diseases that affect the CST.

摘要

背景与目的

白质束特异性成像可能会成为临床神经放射学的一个主要组成部分。利用扩散张量成像(DTI)进行纤维追踪被广泛应用,但变异性很大。本文报告了用DTI重建的健康皮质脊髓束(CST)的磁共振成像表现范围及左右不对称性。

方法

对20名健康志愿者,将全脑DTI数据与绝对T1、T2弛豫时间及磁化传递率(MTR)图谱进行配准,所有数据均在3T条件下采集。对于每个个体,分析2条重建的CST及其不对称性,包括重建的纤维数量、束体积,以及仅限于这些束的个体磁共振成像参数。通过对8名个体进行重复成像来估计扫描间变异性。

结果

重建的纤维数量和束体积高度可变,使其对疾病中的异常不敏感。个体束特异性磁共振成像参数受到更多限制,并报告了其总体平均值和正常范围。总体平均不对称性通常为零;因此,报告了不对称指数的正常范围。举例来说,一名患有影响CST病变的多发性硬化症个体的CST特异性磁共振成像参数及其不对称性显示为异常。

结论

这些结果构成了CST以下成像参数的规范数据集:T1、T2、MTR、分数各向异性、平均扩散率、横向扩散率以及3个扩散张量特征值。这些数据可用于识别、表征和确定影响CST疾病中变化的意义。