Paper Info
Title
TRActs constrained by UnderLying INfant anatomy (TRACULInA): An automated probabilistic tractography tool with anatomical priors for use in the newborn brain.
Abstract
The ongoing myelination of white-matter fiber bundles plays a significant role in brain development. However, reliable and consistent identification of these bundles from infant brain MRIs is often challenging due to inherently low diffusion anisotropy, as well as motion and other artifacts. In this paper we introduce a new tool for automated probabilistic tractography specifically designed for newborn infants. Our tool incorporates prior information about the anatomical neighborhood of white-matter pathways from a training data set. In our experiments, we evaluate this tool on data from both full-term and prematurely born infants and demonstrate that it can reconstruct known white-matter tracts in both groups robustly, even in the presence of differences between the training set and study subjects. Additionally, we evaluate it on a publicly available large data set of healthy term infants (UNC Early Brain Development Program). This paves the way for performing a host of sophisticated analyses in newborns that we have previously implemented for the adult brain, such as pointwise analysis along tracts and longitudinal analysis, in both health and disease.
Year
DOI
Venue
2019
10.1016/j.neuroimage.2019.05.051
NeuroImage
Keywords
Field
DocType
Probabilistic tractography,Infant brain MRI,Prior-guided annotation,Anatomical prior,Premature and full-term infants
Training set,Brain development,Neuroscience,Cognitive psychology,Psychology,Probabilistic logic,Prior probability,Tractography,Pointwise
Journal
Volume
ISSN
Citations 
199
1053-8119
2
PageRank 
References 
Authors
0.35
0
5
Name
Order
Citations
PageRank
Lilla Zollei133724.45
Camilo Jaimes220.69
Elie Saliba320.35
P Ellen Grant420520.81
Anastasia Yendiki518813.22