Diffusion tensor imaging analysis using the medical image processing, analysis, and visualization (MIPAV) application

Thursday, October 11, 2012 — Poster Session III
10:00 a.m. – Noon	Natcher Conference Center, Building 45	CIT	IMAG-27

Authors

• J Senseney
• B Tyrie
• A Bokinsky
• J McEntee
• N Pandya
• D Pham
• M McAuliffe

Abstract

Diffusion-weighted MRI uses the diffusivity of underlying structures to non-invasively map axonal tracts in the white matter of the brain. The developed application uses diffusion-weighted images and a T2-weighted image to model tractography and generate tensor statistics in an integrated pipeline. Registration algorithms have been implemented to integrate pre-processing steps, yielding a novel pipeline for efficient analysis. User tools have been developed to allow for the quantification and analysis of tractography models generated from a deterministic approach to tensor analysis. This DTI pipeline is the result of a collaborative research between the Center for Information Technology's Biomedical Imaging Research Services Section, the Clinical Center, and the Center for Neuroscience and Regenerative Medicine.

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