Semi-automated segmentation of the lateral periventricular regions using diffusion magnetic resonance imaging

Albert M Isaacs; Rowland H Han; Christopher D Smyser; David D Limbrick Jr; Joshua S Shimony

doi:10.1016/j.mex.2020.101023

Semi-automated segmentation of the lateral periventricular regions using diffusion magnetic resonance imaging

MethodsX. 2020 Aug 20:7:101023. doi: 10.1016/j.mex.2020.101023. eCollection 2020.

Authors

Albert M Isaacs^{1

2}, Rowland H Han³, Christopher D Smyser^{4

5

6}, David D Limbrick Jr³, Joshua S Shimony⁶

Affiliations

¹ Department of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, MO, USA.
² Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.
³ Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA.
⁴ Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
⁵ Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA.
⁶ Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.

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; Subventricular zone; Ventricular zone.

Abstract

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