TY  - JOUR
PY  - 2016//
TI  - Multi-modal registration improves group discrimination in pediatric traumatic brain injury
JO  - Lecture notes in computer science
A1  - Dennis, Emily L.
A1  - Rashid, Faisal
A1  - Villalon-Reina, Julio
A1  - Prasad, Gautam
A1  - Faskowitz, Joshua
A1  - Babikian, Talin
A1  - Mink, Richard
A1  - Babbitt, Christopher J.
A1  - Johnson, Jeffrey
A1  - Giza, Christopher C.
A1  - Asarnow, Robert F.
A1  - Thompson, Paul M.
SP  - 32
EP  - 42
VL  - 10154
IS  - 
N2  - Traumatic brain injury (TBI) can disrupt the white matter (WM) integrity in the brain, leading to functional and cognitive disruptions that may persist for years. There is considerable heterogeneity within the patient group, which complicates group analyses. Here we present improvements to a tract identification workflow, automated multi-atlas tract extraction (autoMATE), evaluating the effects of improved registration. Use of study-specific template improved group classification accuracy over the standard workflow. The addition of a multi-modal registration that includes information from diffusion weighted imaging (DWI), T1-weighted, and Fluid-Attenuated Inversion Recovery (FLAIR) further improved classification accuracy. We also examined whether particular tracts contribute more to group classification than others. Parts of the corpus callosum contributed most, and there were unexpected asymmetries between bilateral tracts.<p />  <p>Language: en</p>
LA  - en
SN  - 0302-9743
UR  - http://dx.doi.org/10.1007/978-3-319-55524-9_4
ID  - ref1
ER  -