TY - JOUR
T1 - UNC-Utah NA-MIC framework for DTI fiber tract analysis
AU - Verde, Audrey R.
AU - Budin, Francois
AU - Berger, Jean Baptiste
AU - Gupta, Aditya
AU - Farzinfar, Mahshid
AU - Kaiser, Adrien
AU - Ahn, Mihye
AU - Johnson, Hans
AU - Matsui, Joy
AU - Hazlett, Heather C.
AU - Sharma, Anuja
AU - Goodlett, Casey
AU - Shi, Yundi
AU - Gouttard, Sylvain
AU - Vachet, Clement
AU - Piven, Joseph
AU - Zhu, Hongtu
AU - Gerig, Guido
AU - Styner, Martin
PY - 2014/1/9
Y1 - 2014/1/9
N2 - 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.
AB - 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.
KW - DTI atlas building
KW - Diffusion imaging quality control
KW - Diffusion tensor imaging
KW - Magnetic resonance imaging
KW - Neonatal neuroimaging
KW - White matter pathways
UR - http://www.scopus.com/inward/record.url?scp=84892618395&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84892618395&partnerID=8YFLogxK
U2 - 10.3389/fninf.2013.00051
DO - 10.3389/fninf.2013.00051
M3 - Article
AN - SCOPUS:84892618395
SN - 1662-5196
VL - 7
JO - Frontiers in Neuroinformatics
JF - Frontiers in Neuroinformatics
IS - JAN
M1 - 51
ER -