Cited by 1,464Medical Image Segmentation TechniquesFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

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Bias between MNI and Talairach coordinates analyzed using the ICBM‐152 brain template

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Abstract

MNI coordinates determined using SPM2 and FSL/ FLIRT with the ICBM‐152 template were compared to Talairach coordinates determined using a landmark‐based Talairach registration method (TAL). Analysis revealed a clear‐cut bias in reference frames (origin, orientation) and scaling (brain size). Accordingly, ICBM‐152 fitted brains were consistently larger, oriented more nose down, and translated slightly down relative to TAL fitted brains. Whole brain analysis of MNI/Talairach coordinate disparity revealed an ellipsoidal pattern with disparity ranging from zero at a point deep within the left hemisphere to greater than 1‐cm for some anterior brain areas. MNI/Talairach coordinate disparity was generally less for brains fitted using FSL. The mni2tal transform generally reduced MNI/Talairach coordinate disparity for inferior brain areas but increased disparity for anterior, posterior, and superior areas. Coordinate disparity patterns differed for brain templates (MNI‐305, ICBM‐152) using the same fitting method (FSL/ FLIRT ) and for different fitting methods (SPM2, FSL/ FLIRT ) using the same template (ICBM‐152). An MNI‐to‐Talairach (MTT) transform to correct for bias between MNI and Talairach coordinates was formulated using a best‐fit analysis in one hundred high‐resolution 3‐D MR brain images. MTT transforms optimized for SPM2 and FSL were shown to reduced group mean MNI/Talairach coordinate disparity from a 5‐13 mm to 1‐2 mm for both deep and superficial brain sites. MTT transforms provide a validated means to convert MNI coordinates to Talairach compatible coordinates for studies using either SPM2 or FSL/ FLIRT with the ICBM‐152 template. Hum Brain Mapp 2007. © 2007 Wiley‐Liss, Inc.

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  1. Fox PT, 1994, Advances in Functional Neuroimaging: Technical Foundations, 98

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Metadata

Authors
Lancaster, J. L., Tordesillas‐Gutiérrez, D., Martinez, M., Salinas, F., Evans, A., Zilles, K., Mazziotta, J. C., & Fox, P. T.
Affiliations
  • The University of Texas at San Antonio Health Science Center (US)
  • Montreal Neurological Institute and Hospital (CA)
  • University of California, Los Angeles (US)
Venue
Human Brain Mapping
Publisher
Wiley
Published
2007-01-31
Volume
28
Issue
11
Pages
1194-1205
ISSN
  • 1065-9471 (ISSN-L)
  • 1097-0193
OpenAlex
W2134610285
Cited by
1,464
References
28
Citations by year
2026: 55 · 2025: 78 · 2024: 66 · 2023: 89 · 2022: 91 · 2021: 84 · 2020: 76 · 2019: 86 · 2018: 71 · 2017: 99 · 2016: 89 · 2015: 85 · 2014: 94 · 2013: 87 · 2012: 91
FWCI
59.09
Type
journal article
Language
en
Open access
Locations
  • Human Brain Mapping (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • JuSER (Forschungszentrum Jülich) (submittedVersion)
Funders
  • National Institute of Mental Health (T32MH065728, 5 32 MH65728-03)
  • National Institute on Drug Abuse (P20 MH/ DA52176)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
Talairach coordinates, coordinate transformation, landmark-based registration, brain size scaling
MeSH terms
Algorithms, Brain, Brain Mapping, Fourier Analysis, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Anatomic, Pattern Recognition, Automated, Reference Values, Software, Stereotaxic Techniques, Bias, Imaging, Three-Dimensional

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