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基于弥散张量成像的纤维束追踪技术与应用压缩感知的高角分辨率弥散成像的比较:初步经验。

Fiber tractography based on diffusion tensor imaging compared with high-angular-resolution diffusion imaging with compressed sensing: initial experience.

机构信息

Department of Neurosurgery, University of Marburg, Marburg, Germany.

出版信息

Neurosurgery. 2013 Jan;72 Suppl 1(0 1):165-75. doi: 10.1227/NEU.0b013e318270d9fb.

Abstract

BACKGROUND

The most frequently used method for fiber tractography based on diffusion tensor imaging (DTI) is associated with restrictions in the resolution of crossing or kissing fibers and in the vicinity of tumor or edema. Tractography based on high-angular-resolution diffusion imaging (HARDI) is capable of overcoming this restriction. With compressed sensing (CS) techniques, HARDI acquisitions with a smaller number of directional measurements can be used, thus enabling the use of HARDI-based fiber tractography in clinical practice.

OBJECTIVE

To investigate whether HARDI+CS-based fiber tractography improves the display of neuroanatomically complex pathways and in areas of disturbed diffusion properties.

METHODS

Six patients with gliomas in the vicinity of language-related areas underwent 3-T magnetic resonance imaging including a diffusion-weighted data set with 30 gradient directions. Additionally, functional magnetic resonance imaging for cortical language sites was obtained. Fiber tractography was performed with deterministic streamline algorithms based on DTI using 3 different software platforms. Additionally, tractography based on reconstructed diffusion signals using HARDI+CS was performed.

RESULTS

HARDI+CS-based tractography displayed more compact fiber bundles compared with the DTI-based results in all cases. In 3 cases, neuroanatomically plausible fiber bundles were displayed in the vicinity of tumor and peritumoral edema, which could not be traced on the basis of DTI. The curvature around the sylvian fissure was displayed properly in 6 cases and in only 2 cases with DTI-based tractography.

CONCLUSION

HARDI+CS seems to be a promising approach for fiber tractography in clinical practice for neuroanatomically complex fiber pathways and in areas of disturbed diffusion, overcoming the problem of long acquisition times.

摘要

背景

基于弥散张量成像(DTI)的纤维束追踪最常用的方法与交叉或亲吻纤维的分辨率限制以及肿瘤或水肿附近的分辨率限制有关。基于高角分辨率弥散成像(HARDI)的纤维束追踪能够克服这一限制。通过压缩感知(CS)技术,可以使用较少方向测量的 HARDI 采集,从而使基于 HARDI 的纤维束追踪能够在临床实践中使用。

目的

研究基于高角分辨率弥散成像(HARDI)和压缩感知(CS)的纤维束追踪是否能改善神经解剖复杂路径和弥散性质受扰区域的显示。

方法

6 例语言相关区域附近的胶质瘤患者接受了 3.0T 磁共振成像检查,包括 30 个梯度方向的弥散加权数据集。此外,还获得了皮质语言部位的功能磁共振成像。使用 3 种不同的软件平台,基于 DTI 采用确定性流线算法进行纤维束追踪。此外,还进行了基于 HARDI+CS 重建扩散信号的纤维束追踪。

结果

在所有病例中,基于 HARDI+CS 的纤维束追踪显示的纤维束比基于 DTI 的结果更紧凑。在 3 例病例中,在肿瘤和瘤周水肿附近可以显示出神经解剖上合理的纤维束,而基于 DTI 的纤维束追踪无法显示这些纤维束。在 6 例病例中可以正确显示侧裂周围的曲率,而基于 DTI 的纤维束追踪仅在 2 例病例中可以显示。

结论

HARDI+CS 似乎是一种很有前途的方法,可用于临床实践中的神经解剖复杂纤维束追踪和弥散受扰区域,克服了采集时间长的问题。

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