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Neuroimage. 2008 Apr 1;40(2):570-582. doi: 10.1016/j.neuroimage.2007.12.035. Epub 2008 Jan 3.

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

Author information

1
The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA. Electronic address: susumu@mri.jhu.edu.
2
The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
3
The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
4
F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
5
UCLA Brain Mapping Center, Department of Neurology and Radiology, University of California Los Angeles, School of Medicine, Los Angeles, CA, USA.
6
McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada.
7
Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles, School of Medicine, Los Angeles, CA, USA.
8
Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

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.

PMID:
18255316
PMCID:
PMC2478641
DOI:
10.1016/j.neuroimage.2007.12.035
[Indexed for MEDLINE]
Free PMC Article

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