Fiber tracking: a recursive stack algorithmic approach.
In diffusion tensor magnetic resonance imaging (DT-MRI), each voxel is assigned a tensor that describes local water diffusion. In this study, the eigenvectors and eigenvalues of the diffusion tensor D are analyzed based on stack linked list algorithm. The aim of the study is to develop a reliable and rapid tractography algorithm. In our sample, 60 diffusion weighted human brain images and a null image namely the T2 image creating a set of intensity images of size 256x256x60x30 have been examined. The eigensystem of D is calculated in every pixel, apparent diffusion coefficient ADC is represented with respect to D. The idea of the proposed method is to accomplish the fiber pathway by starting from a single, selected node taking every node in other words all the information of the eigensystem of the whole brain into account. Developing a reliable and rapid fiber tracking algorithm for the clinical use regarding to the verified results is the future study of the work in progress.
Duru
Dilek Göksel
DG
Biomedical Engineering Institute, Bogazici University, Istanbul, 34342 Turkey. gokseld@boun.edu.tr
Ozkan
Mehmed
M
D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D009412:Nerve Fibers; D025341:Principal Component Analysis / Q000379:methods