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UNC-Utah NA-MIC framework for DTI fiber tract analysis
Diffusion tensor imaging has become an important modality in the field of neuroimaging to capture changes in micro-organization and to assess white matter integrity or development. While there exists a number of tractography toolsets, these usually lack tools for preprocessing or to analyze diffusio...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885811/ https://www.ncbi.nlm.nih.gov/pubmed/24409141 http://dx.doi.org/10.3389/fninf.2013.00051 |
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author | Verde, Audrey R. Budin, Francois Berger, Jean-Baptiste Gupta, Aditya Farzinfar, Mahshid Kaiser, Adrien Ahn, Mihye Johnson, Hans Matsui, Joy Hazlett, Heather C. Sharma, Anuja Goodlett, Casey Shi, Yundi Gouttard, Sylvain Vachet, Clement Piven, Joseph Zhu, Hongtu Gerig, Guido Styner, Martin |
author_facet | Verde, Audrey R. Budin, Francois Berger, Jean-Baptiste Gupta, Aditya Farzinfar, Mahshid Kaiser, Adrien Ahn, Mihye Johnson, Hans Matsui, Joy Hazlett, Heather C. Sharma, Anuja Goodlett, Casey Shi, Yundi Gouttard, Sylvain Vachet, Clement Piven, Joseph Zhu, Hongtu Gerig, Guido Styner, Martin |
author_sort | Verde, Audrey R. |
collection | PubMed |
description | Diffusion tensor imaging has become an important modality in the field of neuroimaging to capture changes in micro-organization and to assess white matter integrity or development. While there exists a number of tractography toolsets, these usually lack tools for preprocessing or to analyze diffusion properties along the fiber tracts. Currently, the field is in critical need of a coherent end-to-end toolset for performing an along-fiber tract analysis, accessible to non-technical neuroimaging researchers. The UNC-Utah NA-MIC DTI framework represents a coherent, open source, end-to-end toolset for atlas fiber tract based DTI analysis encompassing DICOM data conversion, quality control, atlas building, fiber tractography, fiber parameterization, and statistical analysis of diffusion properties. Most steps utilize graphical user interfaces (GUI) to simplify interaction and provide an extensive DTI analysis framework for non-technical researchers/investigators. We illustrate the use of our framework on a small sample, cross sectional neuroimaging study of eight healthy 1-year-old children from the Infant Brain Imaging Study (IBIS) Network. In this limited test study, we illustrate the power of our method by quantifying the diffusion properties at 1 year of age on the genu and splenium fiber tracts. |
format | Online Article Text |
id | pubmed-3885811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38858112014-01-09 UNC-Utah NA-MIC framework for DTI fiber tract analysis Verde, Audrey R. Budin, Francois Berger, Jean-Baptiste Gupta, Aditya Farzinfar, Mahshid Kaiser, Adrien Ahn, Mihye Johnson, Hans Matsui, Joy Hazlett, Heather C. Sharma, Anuja Goodlett, Casey Shi, Yundi Gouttard, Sylvain Vachet, Clement Piven, Joseph Zhu, Hongtu Gerig, Guido Styner, Martin Front Neuroinform Neuroscience Diffusion tensor imaging has become an important modality in the field of neuroimaging to capture changes in micro-organization and to assess white matter integrity or development. While there exists a number of tractography toolsets, these usually lack tools for preprocessing or to analyze diffusion properties along the fiber tracts. Currently, the field is in critical need of a coherent end-to-end toolset for performing an along-fiber tract analysis, accessible to non-technical neuroimaging researchers. The UNC-Utah NA-MIC DTI framework represents a coherent, open source, end-to-end toolset for atlas fiber tract based DTI analysis encompassing DICOM data conversion, quality control, atlas building, fiber tractography, fiber parameterization, and statistical analysis of diffusion properties. Most steps utilize graphical user interfaces (GUI) to simplify interaction and provide an extensive DTI analysis framework for non-technical researchers/investigators. We illustrate the use of our framework on a small sample, cross sectional neuroimaging study of eight healthy 1-year-old children from the Infant Brain Imaging Study (IBIS) Network. In this limited test study, we illustrate the power of our method by quantifying the diffusion properties at 1 year of age on the genu and splenium fiber tracts. Frontiers Media S.A. 2014-01-09 /pmc/articles/PMC3885811/ /pubmed/24409141 http://dx.doi.org/10.3389/fninf.2013.00051 Text en Copyright © 2014 Verde, Budin, Berger, Gupta, Farzinfar, Kaiser, Ahn, Johnson, Matsui, Hazlett, Sharma, Goodlett, Shi, Gouttard, Vachet, Piven, Zhu, Gerig and Styner. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Verde, Audrey R. Budin, Francois Berger, Jean-Baptiste Gupta, Aditya Farzinfar, Mahshid Kaiser, Adrien Ahn, Mihye Johnson, Hans Matsui, Joy Hazlett, Heather C. Sharma, Anuja Goodlett, Casey Shi, Yundi Gouttard, Sylvain Vachet, Clement Piven, Joseph Zhu, Hongtu Gerig, Guido Styner, Martin UNC-Utah NA-MIC framework for DTI fiber tract analysis |
title | UNC-Utah NA-MIC framework for DTI fiber tract analysis |
title_full | UNC-Utah NA-MIC framework for DTI fiber tract analysis |
title_fullStr | UNC-Utah NA-MIC framework for DTI fiber tract analysis |
title_full_unstemmed | UNC-Utah NA-MIC framework for DTI fiber tract analysis |
title_short | UNC-Utah NA-MIC framework for DTI fiber tract analysis |
title_sort | unc-utah na-mic framework for dti fiber tract analysis |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885811/ https://www.ncbi.nlm.nih.gov/pubmed/24409141 http://dx.doi.org/10.3389/fninf.2013.00051 |
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