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Neurocranium thickness mapping in early childhood

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 bas...

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Autores principales: Gajawelli, Niharika, Deoni, Sean, Shi, Jie, Linguraru, Marius George, Porras, Antonio R., Nelson, Marvin D., Tamrazi, Benita, Rajagopalan, Vidya, Wang, Yalin, Lepore, Natasha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538561/
https://www.ncbi.nlm.nih.gov/pubmed/33024168
http://dx.doi.org/10.1038/s41598-020-73589-w
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author Gajawelli, Niharika
Deoni, Sean
Shi, Jie
Linguraru, Marius George
Porras, Antonio R.
Nelson, Marvin D.
Tamrazi, Benita
Rajagopalan, Vidya
Wang, Yalin
Lepore, Natasha
author_facet Gajawelli, Niharika
Deoni, Sean
Shi, Jie
Linguraru, Marius George
Porras, Antonio R.
Nelson, Marvin D.
Tamrazi, Benita
Rajagopalan, Vidya
Wang, Yalin
Lepore, Natasha
author_sort Gajawelli, Niharika
collection PubMed
description 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.
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spelling pubmed-75385612020-10-07 Neurocranium thickness mapping in early childhood Gajawelli, Niharika Deoni, Sean Shi, Jie Linguraru, Marius George Porras, Antonio R. Nelson, Marvin D. Tamrazi, Benita Rajagopalan, Vidya Wang, Yalin Lepore, Natasha Sci Rep Article 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. Nature Publishing Group UK 2020-10-06 /pmc/articles/PMC7538561/ /pubmed/33024168 http://dx.doi.org/10.1038/s41598-020-73589-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Gajawelli, Niharika
Deoni, Sean
Shi, Jie
Linguraru, Marius George
Porras, Antonio R.
Nelson, Marvin D.
Tamrazi, Benita
Rajagopalan, Vidya
Wang, Yalin
Lepore, Natasha
Neurocranium thickness mapping in early childhood
title Neurocranium thickness mapping in early childhood
title_full Neurocranium thickness mapping in early childhood
title_fullStr Neurocranium thickness mapping in early childhood
title_full_unstemmed Neurocranium thickness mapping in early childhood
title_short Neurocranium thickness mapping in early childhood
title_sort neurocranium thickness mapping in early childhood
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538561/
https://www.ncbi.nlm.nih.gov/pubmed/33024168
http://dx.doi.org/10.1038/s41598-020-73589-w
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