Cited by 177Medical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

The construction of a Chinese MRI brain atlas: a morphometric comparison study between Chinese and Caucasian cohorts.

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Tang, Yuchun, Hojatkashani, Cornelius, Dinov, Ivo D., Sun, Bo, Fan, Lingzhong, Lin, Xiangtao, Qi, Hengtao, Hua, Xue +2 more·2010·NeuroImage

Abstract

We developed a novel brain atlas template to facilitate computational brain studies of Chinese subjects and populations using high quality magnetic resonance imaging (MRI) and well-validated image analysis techniques. To explore the ethnicity-based structural brain differences, we used the MRI scans of 35 Chinese male subjects (24.03+/-2.06 years) and compared them to an age-matched cohort of 35 Caucasian males (24.03+/-2.06 years). Global volumetric measures were used to identify significant group differences in the brain length, width, height and AC-PC line distance. Using the LONI BrainParser, 56 brain structures were automatically labeled and analyzed for all subjects. We identified significant ethnicity differences in brain structure volumes, suggesting that a population-specific brain atlas may be more appropriate for studies involving Chinese populations. To address this, we constructed a 3D Chinese brain atlas based on high resolution 3.0T MRI scans of 56 right-handed male Chinese volunteers (24.46+/-1.81 years). All Chinese brains were spatially normalized by using linear and nonlinear transformation via the "AIR Make Atlas" pipeline workflow within the LONI pipeline environment. This high-resolution Chinese brain atlas was compared to the ICBM152 template, which was constructed using Caucasian brains.

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Authors
Tang, Y., Hojatkashani, C., Dinov, I. D., Sun, B., Fan, L., Lin, X., Qi, H., Hua, X., Liu, S., & Toga, A. W.
Affiliations
  • Shandong University (CN)
  • University of California, Los Angeles (US)
Corresponding author
Liu, Shuwei
Venue
NeuroImage
Publisher
Elsevier BV
Published
2010-05
Volume
51
Issue
1
Pages
33-41
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2079062663
Cited by
177
References
52
Citations by year
2026: 5 · 2025: 16 · 2024: 17 · 2023: 9 · 2022: 20 · 2021: 13 · 2020: 14 · 2019: 10 · 2018: 13 · 2017: 12 · 2016: 6 · 2015: 11 · 2014: 7 · 2013: 11 · 2012: 5
FWCI
8.91
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Natural Science Foundation (30470905)
  • National Institutes of Health (U54 RR021813, NIH/NCRR 5 P41 RR013642, NIH/NIMH 5 R01 MH71940)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
brain atlas construction, brain structure, brain volumetry, brain structure segmentation, 3T MRI, Chinese population
MeSH terms
Adult, Atlases as Topic, Automation, Brain, China, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Organ Size, Linear Models, Databases, Factual, Nonlinear Dynamics, Imaging, Three-Dimensional, White People, Asian People, Young Adult

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