title: Spatial Mapping of Translational Diffusion Coefficients Using Diffusion Tensor Imaging: A Mathematical Description.
abstract: In this article, we discuss the theoretical background for diffusion weighted imaging and diffusion tensor imaging. Molecular diffusion is a random process involving thermal Brownian motion. In biological tissues, the underlying microstructures restrict the diffusion of water molecules, making diffusion directionally dependent. Water diffusion in tissue is mathematically characterized by the diffusion tensor, the elements of which contain information about the magnitude and direction of diffusion and is a function of the coordinate system. Thus, it is possible to generate contrast in tissue based primarily on diffusion effects. Expressing diffusion in terms of the measured diffusion coefficient (eigenvalue) in any one direction can lead to errors. Nowhere is this more evident than in white matter, due to the preferential orientation of myelin fibers. The directional dependency is removed by diagonalization of the diffusion tensor, which then yields a set of three eigenvalues and eigenvectors, representing the magnitude and direction of the three orthogonal axes of the diffusion ellipsoid, respectively. For example, the eigenvalue corresponding to the eigenvector along the long axis of the fiber corresponds qualitatively to diffusion with least restriction. Determination of the principal values of the diffusion tensor and various anisotropic indices provides structural information. We review the use of diffusion measurements using the modified Stejskal-Tanner diffusion equation. The anisotropy is analyzed by decomposing the diffusion tensor based on symmetrical properties describing the geometry of diffusion tensor. We further describe diffusion tensor properties in visualizing fiber tract organization of the human brain.
authors.affiliation: Texas Children's Pavilion for Women, Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston 77030, TX.
authors.forename: Anil N
authors.initials: AN
authors.lastname: Shetty
authors.affiliation: Department of Statistics, Rice University, Houston, TX.
authors.forename: Sharon
authors.initials: S
authors.lastname: Chiang
authors.affiliation: Departments of Pediatrics and Neuroscience, Program in Developmental Biology Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX.
authors.forename: Mirjana
authors.initials: M
authors.lastname: Maletic-Savatic
authors.affiliation: Texas Children's Pavilion for Women, Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston 77030, TX.
authors.forename: Gregor
authors.initials: G
authors.lastname: Kasprian
authors.affiliation: Department of Statistics, Rice University, Houston, TX.
authors.forename: Marina
authors.initials: M
authors.lastname: Vannucci
authors.affiliation: Texas Children's Pavilion for Women, Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston 77030, TX.
authors.forename: Wesley
authors.initials: W
authors.lastname: Lee
keywords: diffusion; diffusion anisotropy; diffusion tensor; tractography