Wakana Setsu, Nagae-Poetscher Lidia M, Jiang Hangyi, van Zijl Peter, Golay Xavier, Mori Susumu
Johns Hopkins University School of Medicine, Department of Radiology and Radiological Science, 720 Rutland Avenue, Baltimore, MD 21205, USA.
Magn Reson Med. 2005 Mar;53(3):649-57. doi: 10.1002/mrm.20386.
Diffusion tensor imaging (DTI) can delineate white matter architecture based on fiber orientation. The purpose of this paper is to use the orientation information contained in DTI to study axonal organization of the brain both macroscopically and quantitatively. After performing gray/white matter segmentation using a fractional anisotropy threshold, the white matter can be further decomposed into components composed of tracts oriented along three orthogonal anatomic axes (right-left, superior-inferior, and anterior-posterior). For each component, the volume and MR parameters were quantified. To characterize the axonal architecture of the brain, this technique was applied to the entire brain using a Talairach-based brain parcellation method and to the thalamus by manual segmentation. Reproducibility of this analysis tool was examined by repeating the measurements in the same subject, and individual differences were appreciated from the data acquired in 11 healthy volunteers. Based on the results from these preliminary data sets, this new analysis technique is expected to be an effective tool for macroscopic white matter characterization.
扩散张量成像（DTI）能够基于纤维方向描绘白质结构。本文的目的是利用DTI中包含的方向信息，从宏观和定量角度研究大脑的轴突组织。使用分数各向异性阈值进行灰质/白质分割后，白质可进一步分解为由沿三个正交解剖轴（左右、上下、前后）定向的束组成的成分。对于每个成分，对其体积和磁共振参数进行了量化。为了表征大脑的轴突结构，该技术通过基于Talairach的脑图谱方法应用于整个大脑，并通过手动分割应用于丘脑。通过在同一受试者中重复测量来检验该分析工具的可重复性，并从11名健康志愿者获取的数据中了解个体差异。基于这些初步数据集的结果，这种新的分析技术有望成为宏观白质表征的有效工具。
