Recombination of K-space Data with Two Different Applied Diffusion Gradients with DTI MRI, To Synthesize Complex Diffusive Geometrics


This invention describes a unique phantom and the mathematics of image recombination for data acquired in an MRI scanner during a diffusion tensor imaging (DTI) sequence, to synthesize more complicated data using simple structures with a known geometry. During a DTI sequence, a series of images are generated by applying gradient magnetic fields along particular directions, to measure the amount of diffusion of water within tissues in those same directions (or whatever may be in the scanner, such as a reference test object known as a "phantom"). These sequences are useful for characterizing tissue substructure (e.g., cellular size, membrane integrity, etc), which may change with the introduction and progression of disease.

This Invention consists of a method to simulate data characteristics that arise in specific portions of the brain. When neural fascicles in a single voxel (a unit of image volume, akin to a "pixel" in 2D images) cross in two or more different directions, the diffusion data behave as if there are two or more primary directions of diffusion occurring. This technique utilized the conjugate symmetry of observed data to accomplish this.

Case ID: GRU #2008-025

Patent Information:
Medical Devices
For Information, Contact:
Carl Clark
Director Technology Transfer
Augusta University
Nathan Yanasak
© 2017. All Rights Reserved. Powered by Inteum