Share Email Print
cover

Proceedings Paper

White matter fiber-based analysis of T1w/T2w ratio map
Author(s): Haiwei Chen; Francois Budin; Jean Noel; Juan Carlos Prieto; John Gilmore; Jerod Rasmussen; Pathik D. Wadhwa; Sonja Entringer; Claudia Buss; Martin Styner
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Purpose: To develop, test, evaluate and apply a novel tool for the white matter fiber-based analysis of T1w/T2w ratio maps quantifying myelin content. Background: The cerebral white matter in the human brain develops from a mostly non-myelinated state to a nearly fully mature white matter myelination within the first few years of life. High resolution T1w/T2w ratio maps are believed to be effective in quantitatively estimating myelin content on a voxel-wise basis. We propose the use of a fiber-tract-based analysis of such T1w/T2w ratio data, as it allows us to separate fiber bundles that a common regional analysis imprecisely groups together, and to associate effects to specific tracts rather than large, broad regions. Methods: We developed an intuitive, open source tool to facilitate such fiber-based studies of T1w/T2w ratio maps. Via its Graphical User Interface (GUI) the tool is accessible to non-technical users. The framework uses calibrated T1w/T2w ratio maps and a prior fiber atlas as an input to generate profiles of T1w/T2w values. The resulting fiber profiles are used in a statistical analysis that performs along-tract functional statistical analysis. We applied this approach to a preliminary study of early brain development in neonates. Results: We developed an open-source tool for the fiber based analysis of T1w/T2w ratio maps and tested it in a study of brain development.

Paper Details

Date Published: 24 February 2017
PDF: 7 pages
Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101330P (24 February 2017); doi: 10.1117/12.2254467
Show Author Affiliations
Haiwei Chen, The Univ. of North Carolina at Chapel Hill (United States)
Francois Budin, Kitware, Inc. (United States)
Jean Noel, The Univ. of North Carolina at Chapel Hill (United States)
Juan Carlos Prieto, The Univ. of North Carolina at Chapel Hill (United States)
John Gilmore, The Univ. of North Carolina at Chapel Hill (United States)
Jerod Rasmussen, Univ. of California, Irvine (United States)
Pathik D. Wadhwa, Univ. of California, Irvine (United States)
Sonja Entringer, Univ. of California, Irvine (United States)
Charité Univ. Medicine (Germany)
Claudia Buss, Univ. of California, Irvine (United States)
Charité Univ. Medicine (Germany)
Martin Styner, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 10133:
Medical Imaging 2017: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

© SPIE. Terms of Use
Back to Top