Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template.
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.
Mori
Susumu
S
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.
Oishi
Kenichi
K
The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jiang
Hangyi
H
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.
Jiang
Li
L
F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
Li
Xin
X
F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
Akhter
Kazi
K
The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hua
Kegang
K
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.
Faria
Andreia V
AV
The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Mahmood
Asif
A
F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
Woods
Roger
R
UCLA Brain Mapping Center, Department of Neurology and Radiology, University of California Los Angeles, School of Medicine, Los Angeles, CA, USA.
Toga
Arthur W
AW
McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada.
Pike
G Bruce
GB
Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles, School of Medicine, Los Angeles, CA, USA.
Neto
Pedro Rosa
PR
Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles, School of Medicine, Los Angeles, CA, USA.
Evans
Alan
A
Laboratory of Neuro Imaging, Department of Neurology, University of California Los Angeles, School of Medicine, Los Angeles, CA, USA.
Zhang
Jiangyang
J
The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Huang
Hao
H
The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Miller
Michael I
MI
Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
van Zijl
Peter
P
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.
Mazziotta
John
J
UCLA Brain Mapping Center, Department of Neurology and Radiology, University of California Los Angeles, School of Medicine, Los Angeles, CA, USA.
D000293:Adolescent; D000328:Adult; D001271:Atlases as Topic; D001921:Brain / Q000033:anatomy & histology*; D001931:Brain Mapping; D006801:Humans; D008875:Middle Aged