Cranial thickness changes in early childhood

Niharika Gajawelli; Sean Deoni; Jie Shi; Holly Dirks; Marius George Linguraru; Marvin D. Nelson; Yalin Wang; Natasha Lepore

doi:10.1117/12.2286736

17 November 2017 Cranial thickness changes in early childhood

Niharika Gajawelli, Sean Deoni, Jie Shi, Holly Dirks, Marius George Linguraru, Marvin D. Nelson, Yalin Wang, Natasha Lepore

Author Affiliations +

Proceedings Volume 10572, 13th International Conference on Medical Information Processing and Analysis; 105720O (2017) https://doi.org/10.1117/12.2286736
Event: 13th International Symposium on Medical Information Processing and Analysis, 2017, San Andres Island, Colombia

Abstract

The neurocranium changes rapidly in early childhood to accommodate the developing brain. However, developmental disorders may cause abnormal growth of the neurocranium, the most common one being craniosynostosis, affecting about 1 in 2000 children. It is important to understand how the brain and neurocranium develop together to understand the role of the neurocranium in neurodevelopmental outcomes. However, the neurocranium is not as well studied as the human brain in early childhood, due to a lack of imaging data. CT is typically employed to investigate the cranium, but, due to ionizing radiation, may only be used for clinical cases. However, the neurocranium is also visible on magnetic resonance imaging (MRI). Here, we used a large dataset of MRI images from healthy children in the age range of 1 to 2 years old and extracted the neurocranium. A conformal geometry based analysis pipeline is implemented to determine a set of statistical atlases of the neurocranium. A growth model of the neurocranium will help us understand cranial bone and suture development with respect to the brain, which will in turn inform better treatment strategies for neurocranial disorders.

Citation Download Citation

Niharika Gajawelli, Sean Deoni, Jie Shi, Holly Dirks, Marius George Linguraru, Marvin D. Nelson, Yalin Wang, and Natasha Lepore "Cranial thickness changes in early childhood", Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720O (17 November 2017); https://doi.org/10.1117/12.2286736

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