TY - GEN
T1 - Cranial thickness changes in early childhood
AU - Gajawelli, Niharika
AU - Deoni, Sean
AU - Shi, Jie
AU - Dirks, Holly
AU - Linguraru, Marius George
AU - Nelson, Marvin D.
AU - Wang, Yalin
AU - Lepore, Natasha
N1 - Publisher Copyright:
© 2017 SPIE.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Neurocranium
KW - brain
KW - neonatal/pediatric imaging
UR - http://www.scopus.com/inward/record.url?scp=85038413143&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85038413143&partnerID=8YFLogxK
U2 - 10.1117/12.2286736
DO - 10.1117/12.2286736
M3 - Conference contribution
AN - SCOPUS:85038413143
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - 13th International Conference on Medical Information Processing and Analysis
A2 - Lepore, Natasha
A2 - Brieva, Jorge
A2 - Garcia, Juan David
A2 - Romero, Eduardo
PB - SPIE
T2 - 13th International Conference on Medical Information Processing and Analysis, SIPAIM 2017
Y2 - 5 October 2017 through 7 October 2017
ER -