Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
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
_version_ 1782478830500315136
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
work_keys_str_mv AT verdeaudreyr uncutahnamicframeworkfordtifibertractanalysis
AT budinfrancois uncutahnamicframeworkfordtifibertractanalysis
AT bergerjeanbaptiste uncutahnamicframeworkfordtifibertractanalysis
AT guptaaditya uncutahnamicframeworkfordtifibertractanalysis
AT farzinfarmahshid uncutahnamicframeworkfordtifibertractanalysis
AT kaiseradrien uncutahnamicframeworkfordtifibertractanalysis
AT ahnmihye uncutahnamicframeworkfordtifibertractanalysis
AT johnsonhans uncutahnamicframeworkfordtifibertractanalysis
AT matsuijoy uncutahnamicframeworkfordtifibertractanalysis
AT hazlettheatherc uncutahnamicframeworkfordtifibertractanalysis
AT sharmaanuja uncutahnamicframeworkfordtifibertractanalysis
AT goodlettcasey uncutahnamicframeworkfordtifibertractanalysis
AT shiyundi uncutahnamicframeworkfordtifibertractanalysis
AT gouttardsylvain uncutahnamicframeworkfordtifibertractanalysis
AT vachetclement uncutahnamicframeworkfordtifibertractanalysis
AT pivenjoseph uncutahnamicframeworkfordtifibertractanalysis
AT zhuhongtu uncutahnamicframeworkfordtifibertractanalysis
AT gerigguido uncutahnamicframeworkfordtifibertractanalysis
AT stynermartin uncutahnamicframeworkfordtifibertractanalysis