Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

Susumu Mori; Kenichi Oishi; Hangyi Jiang; Li Jiang; Xin Li; Kazi Akhter; Kegang Hua; Andreia V. Faria; Asif Mahmood; Roger Woods; Arthur W. Toga; G. Bruce Pike; Pedro Rosa Neto; Alan Evans; Jiangyang Zhang; Hao Huang; Michael I. Miller; Peter van Zijl; John Mazziotta

doi:10.1016/j.neuroimage.2007.12.035

Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

Susumu Mori, Kenichi Oishi, Hangyi Jiang, Li Jiang, Xin Li, Kazi Akhter, Kegang Hua, Andreia V. Faria, Asif Mahmood, Roger Woods, Arthur W. Toga, G. Bruce Pike, Pedro Rosa Neto, Alan Evans, Jiangyang Zhang, Hao Huang, Michael I. Miller, Peter van Zijl, John Mazziotta

Advanced Imaging Research Center

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

1366 Scopus citations

Abstract

Brain registration to a stereotaxic atlas is an effective way to report anatomic locations of interest and to perform anatomic quantification. However, existing stereotaxic atlases lack comprehensive coordinate information about white matter structures. In this paper, white matter-specific atlases in stereotaxic coordinates are introduced. As a reference template, the widely used ICBM-152 was used. The atlas contains fiber orientation maps and hand-segmented white matter parcellation maps based on diffusion tensor imaging (DTI). Registration accuracy by linear and non-linear transformation was measured, and automated template-based white matter parcellation was tested. The results showed a high correlation between the manual ROI-based and the automated approaches for normal adult populations. The atlases are freely available and believed to be a useful resource as a target template and for automated parcellation methods.

Original language	English (US)
Pages (from-to)	570-582
Number of pages	13
Journal	NeuroImage
Volume	40
Issue number	2
DOIs	https://doi.org/10.1016/j.neuroimage.2007.12.035
State	Published - Apr 1 2008

ASJC Scopus subject areas

Neurology
Cognitive Neuroscience

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Mori, S., Oishi, K., Jiang, H., Jiang, L., Li, X., Akhter, K., Hua, K., Faria, A. V., Mahmood, A., Woods, R., Toga, A. W., Pike, G. B., Neto, P. R., Evans, A., Zhang, J., Huang, H., Miller, M. I., van Zijl, P., & Mazziotta, J. (2008). Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. NeuroImage, 40(2), 570-582. https://doi.org/10.1016/j.neuroimage.2007.12.035

Mori, S, Oishi, K, Jiang, H, Jiang, L, Li, X, Akhter, K, Hua, K, Faria, AV, Mahmood, A, Woods, R, Toga, AW, Pike, GB, Neto, PR, Evans, A, Zhang, J, Huang, H, Miller, MI, van Zijl, P & Mazziotta, J 2008, 'Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template', NeuroImage, vol. 40, no. 2, pp. 570-582. https://doi.org/10.1016/j.neuroimage.2007.12.035

@article{367db8639fa24c33b05bdd30de78be00,

title = "Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template",

abstract = "Brain registration to a stereotaxic atlas is an effective way to report anatomic locations of interest and to perform anatomic quantification. However, existing stereotaxic atlases lack comprehensive coordinate information about white matter structures. In this paper, white matter-specific atlases in stereotaxic coordinates are introduced. As a reference template, the widely used ICBM-152 was used. The atlas contains fiber orientation maps and hand-segmented white matter parcellation maps based on diffusion tensor imaging (DTI). Registration accuracy by linear and non-linear transformation was measured, and automated template-based white matter parcellation was tested. The results showed a high correlation between the manual ROI-based and the automated approaches for normal adult populations. The atlases are freely available and believed to be a useful resource as a target template and for automated parcellation methods.",

author = "Susumu Mori and Kenichi Oishi and Hangyi Jiang and Li Jiang and Xin Li and Kazi Akhter and Kegang Hua and Faria, {Andreia V.} and Asif Mahmood and Roger Woods and Toga, {Arthur W.} and Pike, {G. Bruce} and Neto, {Pedro Rosa} and Alan Evans and Jiangyang Zhang and Hao Huang and Miller, {Michael I.} and {van Zijl}, Peter and John Mazziotta",

note = "Funding Information: This research was supported by NIH grants NCRR P41RR15241, U24RR021382, PO1 EB00195 and RO1AG20012. The National Center for Research Resources (NCRR) is a component of the National Institute of Health (NIH). The contents of this paper are solely the responsibility of the authors and do not necessarily represent the official view of NCRR or NIH. We would like to thank Dr. Alai Zhan for helping us to measure inter-rater reproducibility. Dr. Peter C.M. van Zijl is a paid lecturer for Philips Medical Systems. This arrangement has been approved by Johns Hopkins University in accordance with its conflict of interest policies. ",

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doi = "10.1016/j.neuroimage.2007.12.035",

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AU - Mori, Susumu

AU - Oishi, Kenichi

AU - Jiang, Hangyi

AU - Jiang, Li

AU - Li, Xin

AU - Akhter, Kazi

AU - Hua, Kegang

AU - Faria, Andreia V.

AU - Mahmood, Asif

AU - Woods, Roger

AU - Toga, Arthur W.

AU - Pike, G. Bruce

AU - Neto, Pedro Rosa

AU - Evans, Alan

AU - Zhang, Jiangyang

AU - Huang, Hao

AU - Miller, Michael I.

AU - van Zijl, Peter

AU - Mazziotta, John

N1 - Funding Information: This research was supported by NIH grants NCRR P41RR15241, U24RR021382, PO1 EB00195 and RO1AG20012. The National Center for Research Resources (NCRR) is a component of the National Institute of Health (NIH). The contents of this paper are solely the responsibility of the authors and do not necessarily represent the official view of NCRR or NIH. We would like to thank Dr. Alai Zhan for helping us to measure inter-rater reproducibility. Dr. Peter C.M. van Zijl is a paid lecturer for Philips Medical Systems. This arrangement has been approved by Johns Hopkins University in accordance with its conflict of interest policies.

PY - 2008/4/1

Y1 - 2008/4/1

N2 - Brain registration to a stereotaxic atlas is an effective way to report anatomic locations of interest and to perform anatomic quantification. However, existing stereotaxic atlases lack comprehensive coordinate information about white matter structures. In this paper, white matter-specific atlases in stereotaxic coordinates are introduced. As a reference template, the widely used ICBM-152 was used. The atlas contains fiber orientation maps and hand-segmented white matter parcellation maps based on diffusion tensor imaging (DTI). Registration accuracy by linear and non-linear transformation was measured, and automated template-based white matter parcellation was tested. The results showed a high correlation between the manual ROI-based and the automated approaches for normal adult populations. The atlases are freely available and believed to be a useful resource as a target template and for automated parcellation methods.

AB - Brain registration to a stereotaxic atlas is an effective way to report anatomic locations of interest and to perform anatomic quantification. However, existing stereotaxic atlases lack comprehensive coordinate information about white matter structures. In this paper, white matter-specific atlases in stereotaxic coordinates are introduced. As a reference template, the widely used ICBM-152 was used. The atlas contains fiber orientation maps and hand-segmented white matter parcellation maps based on diffusion tensor imaging (DTI). Registration accuracy by linear and non-linear transformation was measured, and automated template-based white matter parcellation was tested. The results showed a high correlation between the manual ROI-based and the automated approaches for normal adult populations. The atlases are freely available and believed to be a useful resource as a target template and for automated parcellation methods.

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Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

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