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White Matter Fiber-based Analysis of T1w/T2w Ratio Map.

Authors :
Chen, Haiwei
Styner, Martin A1
Angelini, Elsa D
Chen, Haiwei
Budin, Francois
Noel, Jean
Prieto, Juan Carlos
Gilmore, John
Rasmussen, Jerod
Wadhwa, Pathik D
Entringer, Sonja
Buss, Claudia
Styner, Martin
Chen, Haiwei
Styner, Martin A1
Angelini, Elsa D
Chen, Haiwei
Budin, Francois
Noel, Jean
Prieto, Juan Carlos
Gilmore, John
Rasmussen, Jerod
Wadhwa, Pathik D
Entringer, Sonja
Buss, Claudia
Styner, Martin
Publication Year :
2017

Abstract

To develop, test, evaluate and apply a novel tool for the white matter fiber-based analysis of T1w/T2w ratio maps quantifying myelin content. 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. 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. 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.

Details

Database :
OAIster
Notes :
application/pdf
Publication Type :
Electronic Resource
Accession number :
edsoai.on1391607955
Document Type :
Electronic Resource