Meeting Banner
Abstract #4025

Development & Evaluation of a Robust & Efficient Computational Pipeline for Track Density Imaging for Use in a Clinical Research Environment

Cornelius von Morze1, Duan Xu1, Christopher P. Hess1

1Department of Radiology & Biomedical Imaging, UCSF, San Francisco, CA, United States

Track density imaging is an exciting new diffusion post-processing method allowing visualization of white matter tracks with super-resolution by counting the number of tractographic tracks traversing each voxel on a fine spatial grid. We have developed a robust and efficient processing pipeline for production of TDI images in a clinical research environment. We have examined the initial results from TDI in a set of normal volunteers and patients at 3T.