An MRI-based atlas and database of the developing mouse brain

Chuang, Nelson, Mori, Susumu, Yamamoto, Akira, Jiang, Hangyi, Ye, Xin, Xu, Xin, Richards, Linda J., Nathans, Jeremy, Miller, Michael I., Toga, Arthur W., Sidman, Richard L. and Zhang, Jiangyang (2011) An MRI-based atlas and database of the developing mouse brain. NeuroImage, 54 1: 80-89.


Author Chuang, Nelson
Mori, Susumu
Yamamoto, Akira
Jiang, Hangyi
Ye, Xin
Xu, Xin
Richards, Linda J.
Nathans, Jeremy
Miller, Michael I.
Toga, Arthur W.
Sidman, Richard L.
Zhang, Jiangyang
Title An MRI-based atlas and database of the developing mouse brain
Journal name NeuroImage   Check publisher's open access policy
ISSN 1053-8119
1095-9572
Publication date 2011-01
Year available 2010
Sub-type Article (original research)
DOI 10.1016/j.neuroimage.2010.07.043
Volume 54
Issue 1
Start page 80
End page 89
Total pages 10
Place of publication Maryland Heights, United States
Publisher Academic Press
Collection year 2011
Language eng
Formatted abstract The advent of mammalian gene engineering and genetically modified mouse models has led to renewed
interest in developing resources for referencing and quantitative analysis of mouse brain anatomy. In this
study, we used diffusion tensor imaging (DTI) for quantitative characterization of anatomical phenotypes
in the developing mouse brain. As an anatomical reference for neuroscience research using mouse models,
this paper presents DTI based atlases of ex vivo C57BL/6 mouse brains at several developmental stages. The
atlas complements existing histology and MRI-based atlases by providing users access to threedimensional,
high-resolution images of the developing mouse brain, with distinct tissue contrasts and
segmentations of major gray matter and white matter structures. The usefulness of the atlas and database
was demonstrated by quantitative measurements of the development of major gray matter and white
matter structures. Population average images of the mouse brain at several postnatal stages were created
using large deformation diffeomorphic metric mapping and their anatomical variations were quantitatively
characterized. The atlas and database enhance our ability to examine the neuroanatomy in normal or
genetically engineered mouse strains and mouse models of neurological diseases.
© 2010 Elsevier Inc. All rights reserved.
Keyword Magnetic-resonance microscopy
Automated image registration
Diffusion-tensor MRI
Computed tomography
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
Queensland Brain Institute Publications
School of Biomedical Sciences Publications
 
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Created: Sun, 05 Dec 2010, 00:04:01 EST