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Neurocranium thickness mapping in early childhood
Niharika Gajawelli1,2,3, Sean Deoni4,5,6, Jie Shi7
1CIBORG Laboratory, Department of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Insights
This study maps neurocranial development in children aged 6-36 months using MRI scans. Understanding normal cranial bone growth aids in detecting developmental anomalies early.
Area of Science:
- Pediatric radiology
- Developmental biology
- Craniofacial anatomy
Background:
- The neurocranium undergoes rapid development in early childhood to support brain growth.
- Abnormal neurocranial maturation can result from developmental disorders or environmental factors.
- Limited imaging databases hinder the study of early childhood neurocranial development.
Purpose of the Study:
- To investigate neurocranial development in healthy children aged 6 to 36 months.
- To establish a baseline for identifying abnormal neurocranial maturation.
- To inform early detection and treatment strategies for related disorders.
Main Methods:
- Utilized a dataset of magnetic resonance imaging (MRI) data from healthy children (6-36 months).
- Extracted neurocranial outlines from MRI data.
- Applied a conformal geometry-based analysis pipeline to assess local thickness growth.
Main Results:
- Detailed analysis of neurocranial thickness changes across the studied age range.
- Identified patterns of normal cranial bone development in relation to brain growth.
- Provided quantitative data on neurocranial maturation.
Conclusions:
- Established a normative dataset for neurocranial development in early childhood.
- The findings facilitate the detection of abnormal variations in cranial development.
- This research supports improved diagnostic and therapeutic approaches for pediatric cranial anomalies.
Abstract:
The neurocranium changes rapidly in early childhood to accommodate the growing brain. Developmental disorders and environmental factors such as sleep position may lead to abnormal neurocranial maturation. Therefore, it is important to understand how this structure develops, in order to provide a baseline for early detection of anomalies. However, its anatomy has not yet been well studied in early childhood due to the lack of available imaging databases. In hospitals, CT is typically used to image the neurocranium when a pathology is suspected, but the presence of ionizing radiation makes it harder to construct databases of healthy subjects. In this study, instead, we use a dataset of MRI data from healthy normal children in the age range of 6 months to 36 months to study the development of the neurocranium. After extracting its outline from the MRI data, we used a conformal geometry-based analysis pipeline to detect local thickness growth throughout this age span. These changes will help us understand cranial bone development with respect to the brain, as well as detect abnormal variations, which will in turn inform better treatment strategies for implicated disorders.
