Jiang Hangyi, van Zijl Peter C M, Kim Jinsuh, Pearlson Godfrey D, Mori Susumu
Department of Radiology, Johns Hopkins University, School of Medicine, 217 Traylor Building, 720 Rutland Avenue, Baltimore, MD 21205, USA.
Comput Methods Programs Biomed. 2006 Feb;81(2):106-16. doi: 10.1016/j.cmpb.2005.08.004. Epub 2006 Jan 18.
A versatile resource program was developed for diffusion tensor image (DTI) computation and fiber tracking. The software can read data formats from a variety of MR scanners. Tensor calculation is performed by solving an over-determined linear equation system using least square fitting. Various types of map data, such as tensor elements, eigenvalues, eigenvectors, diffusion anisotropy, diffusion constants, and color-coded orientations can be calculated. The results are visualized interactively in orthogonal views and in three-dimensional mode. Three-dimensional tract reconstruction is based on the Fiber Assignment by Continuous Tracking (FACT) algorithm and a brute-force reconstruction approach. To improve the time and memory efficiency, a rapid algorithm to perform the FACT is adopted. An index matrix for the fiber data is introduced to facilitate various types of fiber bundles selection based on approaches employing multiple regions of interest (ROIs). The program is developed using C++ and OpenGL on a Windows platform.
开发了一个多功能资源程序,用于扩散张量图像(DTI)计算和纤维追踪。该软件可以读取来自各种磁共振成像(MR)扫描仪的数据格式。通过使用最小二乘法拟合求解超定线性方程组来进行张量计算。可以计算各种类型的图谱数据,如张量元素、特征值、特征向量、扩散各向异性、扩散常数和颜色编码方向。结果可以在正交视图和三维模式下进行交互式可视化。三维纤维束重建基于连续追踪纤维分配(FACT)算法和强力重建方法。为了提高时间和内存效率,采用了一种执行FACT的快速算法。引入了纤维数据的索引矩阵,以便基于使用多个感兴趣区域(ROI)的方法来方便地选择各种类型的纤维束。该程序是在Windows平台上使用C++和OpenGL开发的。