Cranial thickness changes in early childhood

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication13th International Conference on Medical Information Processing and Analysis
PublisherSPIE
Volume10572
ISBN (Electronic)9781510616332
DOIs
StatePublished - Jan 1 2017
Event13th International Conference on Medical Information Processing and Analysis, SIPAIM 2017 - San Andres Island, Colombia
Duration: Oct 5 2017Oct 7 2017

Other

Other13th International Conference on Medical Information Processing and Analysis, SIPAIM 2017
CountryColombia
CitySan Andres Island
Period10/5/1710/7/17

Fingerprint

brain
Brain
Magnetic Resonance Imaging
Magnetic resonance
Imaging techniques
magnetic resonance
Disorder
cranium
disorders
Conformal Geometry
Atlas
Ionizing radiation
Growth Model
Bone
Large Data Sets
ionizing radiation
bones
Pipelines
Radiation
Imaging

Keywords

  • brain
  • neonatal/pediatric imaging
  • Neurocranium

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Gajawelli, N., Deoni, S., Shi, J., Dirks, H., Linguraru, M. G., Nelson, M. D., ... Lepore, N. (2017). Cranial thickness changes in early childhood. In 13th International Conference on Medical Information Processing and Analysis (Vol. 10572). [105720O] SPIE. https://doi.org/10.1117/12.2286736

Cranial thickness changes in early childhood. / Gajawelli, Niharika; Deoni, Sean; Shi, Jie; Dirks, Holly; Linguraru, Marius George; Nelson, Marvin D.; Wang, Yalin; Lepore, Natasha.

13th International Conference on Medical Information Processing and Analysis. Vol. 10572 SPIE, 2017. 105720O.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gajawelli, N, Deoni, S, Shi, J, Dirks, H, Linguraru, MG, Nelson, MD, Wang, Y & Lepore, N 2017, Cranial thickness changes in early childhood. in 13th International Conference on Medical Information Processing and Analysis. vol. 10572, 105720O, SPIE, 13th International Conference on Medical Information Processing and Analysis, SIPAIM 2017, San Andres Island, Colombia, 10/5/17. https://doi.org/10.1117/12.2286736
Gajawelli N, Deoni S, Shi J, Dirks H, Linguraru MG, Nelson MD et al. Cranial thickness changes in early childhood. In 13th International Conference on Medical Information Processing and Analysis. Vol. 10572. SPIE. 2017. 105720O https://doi.org/10.1117/12.2286736
Gajawelli, Niharika ; Deoni, Sean ; Shi, Jie ; Dirks, Holly ; Linguraru, Marius George ; Nelson, Marvin D. ; Wang, Yalin ; Lepore, Natasha. / Cranial thickness changes in early childhood. 13th International Conference on Medical Information Processing and Analysis. Vol. 10572 SPIE, 2017.
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