CSCI

We have developed a novel approach to the analysis of DTI data in which we use local coupling information, in conjunction with a geometric optics based tract tracing method, to simultaneous estimate both the local diffusion and global fiber tracts [2]. This method uses our recently develop theory of Entropy Spectrum Pathways (ESP) [3] theory to incorporate local coupling between sub-scale diffusion parameters in order to compute the structure of the equilibrium probabilities that define the global information entropy field and uses this global entropy to update the local properties of neural fiber tracts. This approach has an advantage over existing methods in that it does not depend on any model for the number of fibers and can easily distinguish many (e.g., 7) fibers traversing a voxel. In addition, we have also developed an efficient way to trace individual tracts that utilizes the multi-scale and multi-modal structure by means of an approach reminiscent of the geometrical optics..

Also known as: Center for Scientific Computation in Imaging

Primary location: La Jolla United States