Journal article
UNC-Utah NA-MIC framework for DTI fiber tract analysis
Frontiers in neuroinformatics, Vol.7, pp.51-51
01/09/2014
DOI: 10.3389/fninf.2013.00051
PMCID: PMC3885811
PMID: 24409141
Abstract
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.
Details
- Title: Subtitle
- UNC-Utah NA-MIC framework for DTI fiber tract analysis
- Creators
- Audrey R Verde - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North CarolinaFrancois Budin - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North CarolinaJean-Baptiste Berger - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North CarolinaAditya Gupta - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Children’s Hospital of Pittsburgh, University of PittsburghMahshid Farzinfar - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North CarolinaAdrien Kaiser - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North CarolinaMihye Ahn - Department of Biostatistics, University of North CarolinaHans Johnson - Iowa Institute for Biomedical Imaging, University of IowaJoy Matsui - Iowa Institute for Biomedical Imaging, University of IowaHeather C Hazlett - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North CarolinaAnuja Sharma - Scientific Computing and Imaging Institute, University of UtahCasey Goodlett - Kitware IncYundi Shi - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North CarolinaSylvain Gouttard - Scientific Computing and Imaging Institute, University of UtahClement Vachet - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Scientific Computing and Imaging Institute, University of UtahJoseph Piven - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North CarolinaHongtu Zhu - Department of Biostatistics, University of North CarolinaGuido Gerig - Scientific Computing and Imaging Institute, University of UtahMartin Styner - Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Department of Computer Science, University of North Carolina
- Resource Type
- Journal article
- Publication Details
- Frontiers in neuroinformatics, Vol.7, pp.51-51
- DOI
- 10.3389/fninf.2013.00051
- PMID
- 24409141
- PMCID
- PMC3885811
- NLM abbreviation
- Front Neuroinform
- ISSN
- 1662-5196
- eISSN
- 1662-5196
- Publisher
- Frontiers Media S.A
- Language
- English
- Date published
- 01/09/2014
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Psychiatry; The Iowa Institute for Biomedical Imaging; The Iowa Initiative for Artificial Intelligence; Iowa Informatics Initiative
- Record Identifier
- 9984221728902771
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