@article{3538a1e6723445c8b18fd2e1bc3d9b40,
title = "Semi-automated segmentation of the lateral periventricular regions using diffusion magnetic resonance imaging",
abstract = "The lateral ventricular perimeter (LVP) of the brain is a critical region because in addition to housing neural stem cells required for brain development, it facilitates cerebrospinal fluid (CSF) bulk flow and functions as a blood-CSF barrier to protect periventricular white matter (PVWM) and other adjacent regions from injurious toxins. LVP injury is common, particularly among preterm infants who sustain intraventricular hemorrhage or post hemorrhagic hydrocephalus and has been associated with poor neurological outcomes. Assessment of the LVP with diffusion MRI has been challenging, primarily due to issues with partial volume artifacts since the LVP region is in close proximity to CSF and other structures of varying signal intensities that may be inadvertently included in LVP segmentation. This research method presents: • A novel MATLAB-based method to segment a homogenous LVP layer using high spatial resolution parameters (voxel size 1.2 × 1.2 × 1.2 mm3) to only capture the innermost layer of the LVP. • The segmented LVP is averaged from three contiguous axial slices to increase signal to noise ratio and reduce the effect of any residual volume averaging effect and eliminates manual and inter/intrarater-related errors.",
keywords = "Diffusion tensor imaging, Hydrocephalus, Intraventricular hemorrhage, Lateral ventricular perimeter, Preterm infant, Segmentation of lateral ventricular perimeter regions of interest, Subventricular zone, Ventricular zone",
author = "Isaacs, {Albert M.} and Han, {Rowland H.} and Smyser, {Christopher D.} and Limbrick, {David D.} and Shimony, {Joshua S.}",
note = "Funding Information: This work was supported by the Vanier Canada Graduate Scholarship [grant number 396212]; National Institutes of Health [grant numbers K02 NS089852, K23 NS075151-01A1, K23 MH105179, TL1 TR002344, P30 NS098577, R01 HD061619, and R01 HD057098]; Child Neurology Foundation; Cerebral Palsy International Research Foundation; The Dana Foundation; March of Dimes Prematurity Research Center at Washington University; The Doris Duke Charitable Foundation; and the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health [grant number U54 HD087011]. None of the organizations listed had any role in the study design, data collection, data analysis, data interpretation, writing or decision to submit the report for publication. We thank Mr. Dimitrios Alexopolous for his help with the manual segmentation and, Ms Tara Smyser and Ms Jeanette Kenley for their help with many aspects of data acquisition and analyses. Funding Information: This work was supported by the Vanier Canada Graduate Scholarship [grant number 396212 ]; National Institutes of Health [grant numbers K02 NS089852 , K23 NS075151-01A1 , K23 MH105179 , TL1 TR002344 , P30 NS098577 , R01 HD061619 , and R01 HD057098 ]; Child Neurology Foundation; Cerebral Palsy International Research Foundation; The Dana Foundation; March of Dimes Prematurity Research Center at Washington University; The Doris Duke Charitable Foundation; and the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health [grant number U54 HD087011 ]. None of the organizations listed had any role in the study design, data collection, data analysis, data interpretation, writing or decision to submit the report for publication. We thank Mr. Dimitrios Alexopolous for his help with the manual segmentation and, Ms Tara Smyser and Ms Jeanette Kenley for their help with many aspects of data acquisition and analyses. Publisher Copyright: {\textcopyright} 2020 The Author(s)",
year = "2020",
doi = "10.1016/j.mex.2020.101023",
language = "English",
volume = "7",
journal = "MethodsX",
issn = "2215-0161",
}