| NI FEATURE: NORMATIVE DATA - ORIGINAL ARTICLE |
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| Year : 2019 | Volume
: 67
| Issue : 1 | Page : 229--234 |
Construction of Indian human brain atlas
Jayanthi Sivaswamy1, Alphin J Thottupattu1, Raghav Mehta2, R Sheelakumari3, Chandrasekharan Kesavadas3
1 Center for Visual Information Technology, International Institute of Information Technology (IIIT), Hyderabad, Telangana, India
2 Center for Visual Information Technology, International Institute of Information Technology (IIIT), Hyderabad, Telangana; Probabilistic Vision Group, Centre for Intelligent Machines, Department of electrical and Computer Engineering, McGill University, Montreal, QC, Canada
3 Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
Correspondence Address:
Dr. Jayanthi Sivaswamy
Center for Visual Information Technology, IIIT, Hyderabad, Telangana
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/0028-3886.253639
Context: A brain magnetic resonanace imaging (MRI) atlas plays an important role in many neuroimage analysis tasks as it provides an atlas with a standard coordinate system which is needed for spatial normalization of a brain MRI. Ideally, this atlas should be as near to the average brain of the population being studied as possible.
Aims: The aim of this study is to construct and validate the Indian brain MRI atlas of young Indian population and the corresponding structure probability maps.
Settings and Design: This was a population-specific atlas generation and validation process.
Materials and Methods: 100 young healthy adults (M/F = 50/50), aged 21–30 years, were recruited for the study. Three different 1.5-T scanners were used for image acquisition. The atlas and structure maps were created using nonrigid groupwise registration and label-transfer techniques.
Comparison and Validation: The generated atlas was compared against other atlases to study the population-specific trends.
Results: The atlas-based comparison indicated a signifi cant difference between the global size of Indian and Caucasian brains. This difference was noteworthy for all three global measures, namely, length, width, and height. Such a comparison with the Chinese and Korean brain templates indicate all 3 to be comparable in length but signifi cantly different (smaller) in terms of height and width.
Conclusions: The findings confirm that there is significant difference in brain morphology between Indian, Chinese, and Caucasian populations.
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