title: Fiber tracking: a recursive stack algorithmic approach.
abstract: 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.
authors.affiliation: Biomedical Engineering Institute, Bogazici University, Istanbul, 34342 Turkey. gokseld@boun.edu.tr
authors.forename: Dilek Göksel
authors.initials: DG
authors.lastname: Duru
authors.forename: Mehmed
authors.initials: M
authors.lastname: Ozkan
mesh_terms: 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