Boujraf Saïd
Department of Biophysics and Clinical MRI Methods, Faculty of Medicine and Pharmacy, University of Fez, Morocco.
The Clinical Neuroscience Laboratory, Faculty of Medicine and Pharmacy, University of Fez, Morocco.
J Med Signals Sens. 2018 Apr-Jun;8(2):73-80.
A color mapping of fiber tract orientation using diffusion tensor imaging (DTI) can be prominent in clinical practice. The goal of this paper is to perform a comparative study of visualized diffusion anisotropy in the human brain anatomical entities using three different color-mapping techniques based on diffusion-weighted imaging (DWI) and DTI.
The first technique is based on calculating a color map from DWIs measured in three perpendicular directions. The second technique is based on eigenvalues derived from the diffusion tensor. The last technique is based on three eigenvectors corresponding to sorted eigenvalues derived from the diffusion tensor. All magnetic resonance imaging measurements were achieved using a 1.5 Tesla Siemens Vision whole body imaging system. A single-shot DW echoplanar imaging sequence used a Stejskal-Tanner approach. Trapezoidal diffusion gradients are used. The slice orientation was transverse. The basic measurement yielded a set of 13 images. Each series consists of a single image without diffusion weighting, besides two DWIs for each of the next six noncollinear magnetic field gradient directions.
The three types of color maps were calculated consequently using the DWI obtained and the DTI. Indeed, we established an excellent similarity between the image data in the color maps and the fiber directions of known anatomical structures (e.g., corpus callosum and gray matter).
In the meantime, rotationally invariant quantities such as the eigenvectors of the diffusion tensor reflected better, the real orientation found in the studied tissue.
利用扩散张量成像(DTI)对纤维束方向进行颜色映射在临床实践中可能很突出。本文的目的是使用基于扩散加权成像(DWI)和DTI的三种不同颜色映射技术,对人脑解剖实体中的可视化扩散各向异性进行比较研究。
第一种技术基于从在三个垂直方向上测量的DWI计算颜色图。第二种技术基于从扩散张量导出的特征值。最后一种技术基于与从扩散张量导出的排序特征值对应的三个特征向量。所有磁共振成像测量均使用1.5特斯拉西门子Vision全身成像系统完成。单次激发DW回波平面成像序列采用Stejskal-Tanner方法。使用梯形扩散梯度。切片方向为横向。基本测量产生一组13张图像。每个系列除了在接下来的六个非共线磁场梯度方向中的每个方向有两个DWI外,还包括一张无扩散加权的单张图像。
随后使用获得的DWI和DTI计算了三种类型的颜色图。实际上,我们在颜色图中的图像数据与已知解剖结构(如胼胝体和灰质)的纤维方向之间建立了极好的相似性。
同时,诸如扩散张量的特征向量等旋转不变量能更好地反映在研究组织中发现的真实方向。