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UNC-Utah NA-MIC Framework for DTI Fiber Tract Analysis

1Neuro Image Research and Analysis Laboratory, Department of Psychiatry, University of North Carolina Chapel Hill, NC, USA.
2Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
3Iowa Institute for Biomedical Imaging, University of Iowa, Iowa City, IA, USA.
4Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA.
5Kitware Inc., Clifton Park, NY, USA.
Publication Date:
Front Neuroinform
Volume Number:
Front Neuroinform. 2014 Jan 9;7:51.
PubMed ID:
DTI Atlas Building, diffusion imaging quality control, diffusion tensor imaging, magnetic resonance imaging, neonatal neuroimaging, white matter pathways
Appears in Collections:
R01 NS040068/NS/NINDS NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
R01 MH086633/MH/NIMH NIH HHS/United States
P50 MH064065/MH/NIMH NIH HHS/United States
U54 HD079124/HD/NICHD NIH HHS/United States
P30 HD003110/HD/NICHD NIH HHS/United States
R01 MH070890/MH/NIMH NIH HHS/United States
T32 NS007431/NS/NINDS NIH HHS/United States
R01 HD053000/HD/NICHD NIH HHS/United States
U01 MH070890/MH/NIMH NIH HHS/United States
R01 NS050568/NS/NINDS NIH HHS/United States
R01 MH091645/MH/NIMH NIH HHS/United States
UL1 RR025747/RR/NCRR NIH HHS/United States
P50 MH078105/MH/NIMH NIH HHS/United States
T32 GM008719/GM/NIGMS NIH HHS/United States
P01 CA142538/CA/NCI NIH HHS/United States
R01 AI067518/AI/NIAID NIH HHS/United States
R21 AG033387/AG/NIA NIH HHS/United States
R01 HD055741/HD/NICHD NIH HHS/United States
Generated Citation:
Verde A.R., Budin F., Berger J-B., Gupta A., Farzinfar M., Kaiser A., Ahn M., Johnson H., Matsui J., Hazlett H.C., Sharma A., Goodlett C., Shi Y., Gouttard S., Vachet C., Piven J., Zhu H., Gerig G., Styner M. UNC-Utah NA-MIC Framework for DTI Fiber Tract Analysis. Front Neuroinform. 2014 Jan 9;7:51. PMID: 24409141. PMCID: PMC3885811.
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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.

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