Improved agreement between Talairach and MNI coordinate spaces in deep brain regions

Patrick S. Carmack; Jeff Spence; Richard F. Gunst; William R. Schucany; Wayne A. Woodward; Robert W. Haley

doi:10.1016/j.neuroimage.2004.01.022

Improved agreement between Talairach and MNI coordinate spaces in deep brain regions

Patrick S. Carmack, Jeff Spence, Richard F. Gunst, William R. Schucany, Wayne A. Woodward, Robert W. Haley

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

Disagreement between the Talairach atlas and the stereotaxic space commonly used in software like SPM is a widely recognized problem. Others have proposed affine transformations to improve agreement in surface areas such as Brodmann's areas. This article proposes a similar transformation with the goal of improving agreement specifically in the deep brain region. The task is accomplished by finding an affine transformation that minimizes the mean distance between the surface coordinates of the lateral ventricles in the Talairach atlas and the MNI templates. The result is a transformation that improves deep brain agreement over both the untransformed Talairach coordinates and the surface-oriented transformation. While the transformation improves deep brain agreement, surface agreement is generally made worse. For areas near the lateral ventricle, the transformation presented herein is valuable for applications such as region of interest (ROI) modeling.

Original language	English (US)
Pages (from-to)	367-371
Number of pages	5
Journal	NeuroImage
Volume	22
Issue number	1
DOIs	https://doi.org/10.1016/j.neuroimage.2004.01.022
State	Published - May 2004

Keywords

Affine transformation
Coordinate transformation
Region of interest
Spatial normalization
Talairach

ASJC Scopus subject areas

Neurology
Cognitive Neuroscience

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10.1016/j.neuroimage.2004.01.022

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title = "Improved agreement between Talairach and MNI coordinate spaces in deep brain regions",

abstract = "Disagreement between the Talairach atlas and the stereotaxic space commonly used in software like SPM is a widely recognized problem. Others have proposed affine transformations to improve agreement in surface areas such as Brodmann's areas. This article proposes a similar transformation with the goal of improving agreement specifically in the deep brain region. The task is accomplished by finding an affine transformation that minimizes the mean distance between the surface coordinates of the lateral ventricles in the Talairach atlas and the MNI templates. The result is a transformation that improves deep brain agreement over both the untransformed Talairach coordinates and the surface-oriented transformation. While the transformation improves deep brain agreement, surface agreement is generally made worse. For areas near the lateral ventricle, the transformation presented herein is valuable for applications such as region of interest (ROI) modeling.",

keywords = "Affine transformation, Coordinate transformation, Region of interest, Spatial normalization, Talairach",

author = "Carmack, {Patrick S.} and Jeff Spence and Gunst, {Richard F.} and Schucany, {William R.} and Woodward, {Wayne A.} and Haley, {Robert W.}",

note = "Funding Information: This study was supported by the U.S. Army Medical Research and Material Command cooperative agreement numbers DAMD17-97-2-7025 and DAMD17-01-1-0741 through a consortium agreement with the University of Texas Southwestern Medical Center at Dallas. The content of this paper does not necessarily reflect the position or the policy of the U.S. government, and no official endorsement should be inferred. ",

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AU - Woodward, Wayne A.

AU - Haley, Robert W.

N1 - Funding Information: This study was supported by the U.S. Army Medical Research and Material Command cooperative agreement numbers DAMD17-97-2-7025 and DAMD17-01-1-0741 through a consortium agreement with the University of Texas Southwestern Medical Center at Dallas. The content of this paper does not necessarily reflect the position or the policy of the U.S. government, and no official endorsement should be inferred.

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N2 - Disagreement between the Talairach atlas and the stereotaxic space commonly used in software like SPM is a widely recognized problem. Others have proposed affine transformations to improve agreement in surface areas such as Brodmann's areas. This article proposes a similar transformation with the goal of improving agreement specifically in the deep brain region. The task is accomplished by finding an affine transformation that minimizes the mean distance between the surface coordinates of the lateral ventricles in the Talairach atlas and the MNI templates. The result is a transformation that improves deep brain agreement over both the untransformed Talairach coordinates and the surface-oriented transformation. While the transformation improves deep brain agreement, surface agreement is generally made worse. For areas near the lateral ventricle, the transformation presented herein is valuable for applications such as region of interest (ROI) modeling.

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Improved agreement between Talairach and MNI coordinate spaces in deep brain regions

Abstract

Keywords

ASJC Scopus subject areas

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