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Abnormal Ventricular Development in Preterm Neonates with Visually Normal MRIs.

Jie Shi1, Yalin Wang1, Yi Lao2,3

  • 1School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.

Proceedings of Spie--The International Society for Optical Engineering
|June 11, 2019
PubMed
Summary
This summary is machine-generated.

Premature infants show differences in left ventricle shape and position compared to full-term infants. This finding in neonatal neuroanatomy may help identify risks for neurocognitive disorders.

Keywords:
brainimage analysismagnetic resonance imagingprematurity

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Area of Science:

  • Neuroimaging
  • Developmental Neuroscience
  • Medical Image Analysis

Background:

  • Preterm birth is linked to neurocognitive and neurobehavioral disorders.
  • Neonatal brain abnormalities, particularly ventricular enlargement, may underlie these disorders.
  • Accurate characterization of neonatal neuroanatomy is crucial for treatment strategies.

Purpose of the Study:

  • To develop a novel pipeline for detecting morphological and relative pose differences in neonatal ventricles.
  • To compare ventricular anatomy between preterm neonates and controls.
  • To identify potential neuroanatomical markers associated with preterm birth.

Main Methods:

  • Utilized hyperbolic Ricci flow mapping of ventricular surfaces to the Poincaré disk.
  • Registered ventricular surfaces to a template for group comparison.
  • Employed multivariate tensor-based morphometry and Procrustes alignment for pose analysis.

Main Results:

  • Identified significant differences in the morphology and relative pose of the left ventricles between preterm neonates and controls.
  • Morphological and pose variations were specific to the left ventricles.
  • The developed pipeline successfully detected group-specific differences.

Conclusions:

  • Neonatal neuroanatomy, specifically left ventricular morphology and pose, differs between preterm and control infants.
  • These differences may serve as early indicators of neurodevelopmental risks.
  • The novel imaging analysis pipeline offers a promising tool for studying preterm brain development.