Study of brain growth in children-a new approach to volume measurements using MRI-reconstructed 3D neuroimaging

Ein-Yiao Shen, Kuan Hsun Wu, Ming Fan Lin, Chia Yuan Chen

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Objective: The three-dimensional (3D) reconstructed neuroimages are currently available to analyze brain structure. It provides a new tool for clinical evaluation and academic research on brain. However, there are several methods for processing 3D images. In this article, we present a technique that utilizes a work station and a software program to process reconstructed 3D neuroimages after magnetic resonance imaging (MRI) scanning. Methods: The brain volumes of 50 normal children aged between 3 months and 12 years and 11 months were measured by 3D neuroimages reconstructed from regular MRI scans. These results were then analyzed statistically against the growth curve. Results: The regression curve of cortical growth was y∈=∈39.317Ln(x) ∈+∈631.31, R 2∈=∈0.1318. The regression curve of white matter growth was y∈=∈81.754Ln(x)∈+∈186.07, R 2∈=∈0.5675. The regression curve of whole brain growth was y∈=∈121.07Ln(x)∈+∈817.738, R 2∈=∈0. 4077. Current studies show that at the postnatal stage, the cortex grows mainly between birth and 4 years of age. At the same time, the postnatal development of the brain depends mainly on the growth of white matter from birth through adolescence. Conclusions: This study presents the basic data from a study of children's brains using reconstructed 3D brain images. A 3D reconstructed neuroimage provides a new tool for neurological and psychological in vivo research of the brain. Based on the techniques we introduce here, the clinician may evaluate the growth of the brain in a more efficient and precise manner.

Original languageEnglish
Pages (from-to)1619-1623
Number of pages5
JournalChild's Nervous System
Volume26
Issue number11
DOIs
Publication statusPublished - Nov 2010

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Neuroimaging
Magnetic Resonance Imaging
Brain
Growth
Parturition
Software
Psychology
Research

Keywords

  • 3D neuroimaging
  • Brain growth
  • MRI reconstructed
  • Volume measurement

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Clinical Neurology

Cite this

Study of brain growth in children-a new approach to volume measurements using MRI-reconstructed 3D neuroimaging. / Shen, Ein-Yiao; Wu, Kuan Hsun; Lin, Ming Fan; Chen, Chia Yuan.

In: Child's Nervous System, Vol. 26, No. 11, 11.2010, p. 1619-1623.

Research output: Contribution to journalArticle

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abstract = "Objective: The three-dimensional (3D) reconstructed neuroimages are currently available to analyze brain structure. It provides a new tool for clinical evaluation and academic research on brain. However, there are several methods for processing 3D images. In this article, we present a technique that utilizes a work station and a software program to process reconstructed 3D neuroimages after magnetic resonance imaging (MRI) scanning. Methods: The brain volumes of 50 normal children aged between 3 months and 12 years and 11 months were measured by 3D neuroimages reconstructed from regular MRI scans. These results were then analyzed statistically against the growth curve. Results: The regression curve of cortical growth was y∈=∈39.317Ln(x) ∈+∈631.31, R 2∈=∈0.1318. The regression curve of white matter growth was y∈=∈81.754Ln(x)∈+∈186.07, R 2∈=∈0.5675. The regression curve of whole brain growth was y∈=∈121.07Ln(x)∈+∈817.738, R 2∈=∈0. 4077. Current studies show that at the postnatal stage, the cortex grows mainly between birth and 4 years of age. At the same time, the postnatal development of the brain depends mainly on the growth of white matter from birth through adolescence. Conclusions: This study presents the basic data from a study of children's brains using reconstructed 3D brain images. A 3D reconstructed neuroimage provides a new tool for neurological and psychological in vivo research of the brain. Based on the techniques we introduce here, the clinician may evaluate the growth of the brain in a more efficient and precise manner.",
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