Construction of Indian human brain atlas

• Published in: Neurology India Vol. 67; no. 1; pp. 229 - 234
• Main Authors: Sivaswamy, Jayanthi, Thottupattu, Alphin, Mehta, Raghav, Sheelakumari, R, Kesavadas, Chandrasekharan
• Format: Journal Article
• Language: English
• Published: India Wolters Kluwer India Pvt. Ltd 01.01.2019; Medknow Publications and Media Pvt. Ltd; Medknow Publications & Media Pvt. Ltd
• Subjects: Adult; Age; Algorithms; Asians; Brain; Brain - anatomy & histology; Brain Mapping - methods; Cervical Atlas - anatomy & histology; Diagnostic imaging; Evaluation; Female; Health status indicators; Humans; Image Processing, Computer-Assisted; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Medical examination; Medical imaging; Medical imaging equipment; Neuroimaging; Neurosciences; Population; Registration; Scanners; Studies; Whites; Young Adult; India; structure probability mapKey Message: An Indian population brain atlas and structure probability map from 1.5 Tesla T1 images of 100 subjects in the age range of 21-30 years was constructed and validated. This article studied the importance of this population specific atlas; MRI; Indian brain atlas; structure probability map
• ISSN: 0028-3886; 1998-4022
• 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.