Varentsova Anna, Zhang Shengwei, Arfanakis Konstantinos
Department of Physics, Illinois Institute of Technology, Chicago, IL, USA.
Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA.
Neuroimage. 2014 May 1;91:177-86. doi: 10.1016/j.neuroimage.2014.01.009. Epub 2014 Jan 15.
Brain diffusion templates contain rich information about the microstructure of the brain, and are used as references in spatial normalization or in the development of brain atlases. The accuracy of diffusion templates constructed based on the diffusion tensor (DT) model is limited in regions with complex neuronal micro-architecture. High angular resolution diffusion imaging (HARDI) overcomes limitations of the DT model and is capable of resolving intravoxel heterogeneity. However, when HARDI is combined with multiple-shot sequences to minimize image artifacts, the scan time becomes inappropriate for human brain imaging. In this work, an artifact-free HARDI template of the human brain was developed from low angular resolution multiple-shot diffusion data. The resulting HARDI template was produced in ICBM-152 space based on Turboprop diffusion data, was shown to resolve complex neuronal micro-architecture in regions with intravoxel heterogeneity, and contained fiber orientation information consistent with known human brain anatomy.
脑扩散模板包含有关脑微观结构的丰富信息,并在空间归一化或脑图谱的开发中用作参考。基于扩散张量(DT)模型构建的扩散模板在具有复杂神经元微结构的区域中的准确性有限。高角分辨率扩散成像(HARDI)克服了DT模型的局限性,能够分辨体素内的异质性。然而,当HARDI与多次激发序列相结合以最小化图像伪影时,扫描时间对于人脑成像来说变得不合适。在这项工作中,从低角分辨率多次激发扩散数据中开发了一种无伪影的人脑HARDI模板。所得的HARDI模板基于涡轮螺旋桨扩散数据在ICBM-152空间中生成,显示出能够分辨具有体素内异质性区域中的复杂神经元微结构,并且包含与已知人脑解剖结构一致的纤维取向信息。