Cited by 180Advanced Neuroimaging Techniques and ApplicationsMedical Image Segmentation TechniquesFunctional Brain Connectivity Studies

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Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection

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Faria, Andreia V., Zhang, Jiangyang, Oishi, Kenichi, Li, Xin, Jiang, Hangyi, Akhter, Kazi, Hermoye, Laurent, Lee, Seung-Koo, Hoon, Alexander, Stashinko, Elaine·2010·NeuroImage

DOI 10.1016/j.neuroimage.2010.04.238PMC PMC2886186

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Abstract

Quantification of normal brain maturation is a crucial step in understanding developmental abnormalities in brain anatomy and function. The aim of this study was to develop atlas-based tools for time-dependent quantitative image analysis, and to characterize the anatomical changes that occur from 2years of age to adulthood. We used large deformation diffeomorphic metric mapping to register diffusion tensor images of normal participants into the common coordinates and used a pre-segmented atlas to segment the entire brain into 176 structures. Both voxel- and atlas-based analyses reported a structure that showed distinctive changes in terms of its volume and diffusivity measures. In the white matter, fractional anisotropy (FA) linearly increased with age in logarithmic scale, while diffusivity indices, such as apparent diffusion coefficient (ADC), and axial and radial diffusivity, decreased at a different rate in several regions. The average, variability, and the time course of each measured parameter are incorporated into the atlas, which can be used for automated detection of developmental abnormalities. As a demonstration of future application studies, the brainstem anatomy of cerebral palsy patients was evaluated and the altered anatomy was delineated.

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Authors: Faria, A. V., Zhang, J., Oishi, K., Li, X., Jiang, H., Akhter, K., Hermoye, L., Lee, S.-K., Hoon, A., & Stashinko, E.
Affiliations: Johns Hopkins University (US)
Kennedy Krieger Institute (US)
UCLouvain (BE)
Yonsei University (KR)
ORCID: Faria, Andreia V.
Zhang, Jiangyang
Oishi, Kenichi
Jiang, Hangyi
Akhter, Kazi
Lee, Seung-Koo
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2010-08-15
Volume: 52
Issue: 2
Pages: 415-428
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2010.04.238
PMC: PMC2886186
OpenAlex: W2025108982
Cited by: 180
References: 91
Citations by year: 2026: 8 · 2025: 5 · 2024: 5 · 2023: 7 · 2022: 6 · 2021: 8 · 2020: 6 · 2019: 8 · 2018: 5 · 2017: 18 · 2016: 11 · 2015: 15 · 2014: 16 · 2013: 32 · 2012: 15
FWCI: 15.85
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
Funders: Johns Hopkins University
National Institute on Aging (R01AG020012, AG 20012)
National Institute of Neurological Disorders and Stroke (R01NS058299, F05NS059230)
National Institute of Biomedical Imaging and Bioengineering (P41EB015909)
National Center for Research Resources (RR 015241, P41RR015241, P41RR005959)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords: brain maturation, brain development, diffusion tensor imaging, brain atlas, longitudinal brain development, fractional anisotropy, apparent diffusion coefficient, white matter maturation, brainstem anatomy, cerebral palsy, brain structure segmentation
MeSH terms: Adolescent, Adult, Atlases as Topic, Automation, Brain, Child, Child, Preschool, Diagnosis, Computer-Assisted, Diffusion, Female, Humans, Image Processing, Computer-Assisted, Male, Nerve Fibers, Myelinated, Organ Size, Time Factors, Linear Models, Anisotropy, Young Adult, Diffusion Tensor Imaging

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Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection

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