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Proceedings Paper

Cranial thickness changes in early childhood
Author(s): Niharika Gajawelli; Sean Deoni; Jie Shi; Holly Dirks; Marius George Linguraru; Marvin D. Nelson; Yalin Wang; Natasha Lepore
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Paper 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.

Paper Details

Date Published: 17 November 2017
PDF: 5 pages
Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720O (17 November 2017); doi: 10.1117/12.2286736
Show Author Affiliations
Niharika Gajawelli, Children's Hospital Los Angeles (United States)
Univ. of Southern California (United States)
Sean Deoni, Children's Hospital Colorado (United States)
Brown Univ. (United States)
Jie Shi, Arizona State Univ. (United States)
Holly Dirks, Brown Univ. (United States)
Marius George Linguraru, Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System (United States)
George Washington Univ. (United States)
Marvin D. Nelson, Univ. of Southern California (United States)
Children's Hospital Los Angeles (United States)
Yalin Wang, Arizona State Univ. (United States)
Natasha Lepore, Children's Hospital Los Angeles (United States)
Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 10572:
13th International Conference on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Juan David García, Editor(s)

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