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Cranial thickness changes in early childhood

Niharika Gajawelli1,2, Sean Deoni3,4, Jie Shi5

  • 1CIBORG Lab, Department of Radiology, Children's Hospital Los Angeles, CA, USA.

Proceedings of Spie--The International Society for Optical Engineering
|June 11, 2019
PubMed

Insights

This study uses MRI scans to create statistical atlases of the infant neurocranium. Understanding this cranial development is key for diagnosing and treating disorders like craniosynostosis.

Area of Science:

  • Pediatric neuroimaging
  • Developmental biology
  • Craniofacial development

Background:

  • The neurocranium undergoes rapid development in early childhood to support brain growth.
  • Developmental disorders, such as craniosynostosis, can lead to abnormal neurocranial growth, impacting neurodevelopmental outcomes.
  • Limited neurocranial imaging data in early childhood hinders understanding of its role in development.

Purpose of the Study:

  • To develop statistical atlases of the infant neurocranium using magnetic resonance imaging (MRI).
  • To establish a growth model for the neurocranium to understand its development in relation to the brain.
  • To inform improved treatment strategies for neurocranial disorders.

Main Methods:

  • Utilized a large dataset of MRI images from healthy children aged 1-2 years.
  • Extracted neurocranial data from MRI scans.
  • Implemented a conformal geometry-based analysis pipeline to generate statistical atlases.

Main Results:

  • Successfully extracted and analyzed neurocranial data from a cohort of young children.
  • Developed a set of statistical atlases representing typical neurocranial development in 1-2 year olds.
  • Laid the groundwork for a neurocranial growth model.

Conclusions:

  • MRI is a viable method for studying the infant neurocranium without ionizing radiation.
  • Statistical atlases and growth models are crucial for understanding neurocranial development.
  • This research will aid in understanding and treating neurocranial disorders.

Keywords:
Neurocraniumbrainneonatal/pediatric imaging

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