Mapping postnatal mouse brain development with diffusion tensor microimaging

Jiangyang Zhang; Michael I. Miller; Celine Plachez; Linda J. Richards; Paul Yarowsky; Peter Van Zijl; Susumu Mori

doi:10.1016/j.neuroimage.2005.03.009

Mapping postnatal mouse brain development with diffusion tensor microimaging

Jiangyang Zhang, Michael I. Miller, Celine Plachez, Linda J. Richards, Paul Yarowsky, Peter Van Zijl, Susumu Mori

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

68 Scopus citations

Abstract

While mouse brain development has been extensively studied using histology, quantitative characterization of morphological changes is still a challenging task. This paper presents how developing brain structures can be quantitatively characterized with magnetic resonance diffusion tensor microimaging coupled with techniques of computational anatomy. High resolution diffusion tensor images of ex vivo postnatal mouse brains provide excellent contrasts to reveal the evolutions of mouse forebrain structures. Using anatomical landmarks defined on diffusion tensor images, tissue level growth patterns of mouse brains were quantified. The results demonstrate the use of these techniques to three-dimensionally and quantitatively characterize brain growth.

Original language	English (US)
Pages (from-to)	1042-1051
Number of pages	10
Journal	NeuroImage
Volume	26
Issue number	4
DOIs	https://doi.org/10.1016/j.neuroimage.2005.03.009
State	Published - Jul 15 2005

Keywords

Computational neuroanatomy
Diffusion tensor
Microimaging
Mouse brain development

ASJC Scopus subject areas

Neurology
Cognitive Neuroscience

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10.1016/j.neuroimage.2005.03.009

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title = "Mapping postnatal mouse brain development with diffusion tensor microimaging",

abstract = "While mouse brain development has been extensively studied using histology, quantitative characterization of morphological changes is still a challenging task. This paper presents how developing brain structures can be quantitatively characterized with magnetic resonance diffusion tensor microimaging coupled with techniques of computational anatomy. High resolution diffusion tensor images of ex vivo postnatal mouse brains provide excellent contrasts to reveal the evolutions of mouse forebrain structures. Using anatomical landmarks defined on diffusion tensor images, tissue level growth patterns of mouse brains were quantified. The results demonstrate the use of these techniques to three-dimensionally and quantitatively characterize brain growth.",

keywords = "Computational neuroanatomy, Diffusion tensor, Microimaging, Mouse brain development",

author = "Jiangyang Zhang and Miller, {Michael I.} and Celine Plachez and Richards, {Linda J.} and Paul Yarowsky and {Van Zijl}, Peter and Susumu Mori",

note = "Funding Information: This study was supported by NIH grants RO1 AG20012-01, RO3 HD41407-01A1, and P41 RR15241-01.",

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T1 - Mapping postnatal mouse brain development with diffusion tensor microimaging

AU - Zhang, Jiangyang

AU - Miller, Michael I.

AU - Plachez, Celine

AU - Richards, Linda J.

AU - Yarowsky, Paul

AU - Van Zijl, Peter

AU - Mori, Susumu

N1 - Funding Information: This study was supported by NIH grants RO1 AG20012-01, RO3 HD41407-01A1, and P41 RR15241-01.

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Y1 - 2005/7/15

N2 - While mouse brain development has been extensively studied using histology, quantitative characterization of morphological changes is still a challenging task. This paper presents how developing brain structures can be quantitatively characterized with magnetic resonance diffusion tensor microimaging coupled with techniques of computational anatomy. High resolution diffusion tensor images of ex vivo postnatal mouse brains provide excellent contrasts to reveal the evolutions of mouse forebrain structures. Using anatomical landmarks defined on diffusion tensor images, tissue level growth patterns of mouse brains were quantified. The results demonstrate the use of these techniques to three-dimensionally and quantitatively characterize brain growth.

AB - While mouse brain development has been extensively studied using histology, quantitative characterization of morphological changes is still a challenging task. This paper presents how developing brain structures can be quantitatively characterized with magnetic resonance diffusion tensor microimaging coupled with techniques of computational anatomy. High resolution diffusion tensor images of ex vivo postnatal mouse brains provide excellent contrasts to reveal the evolutions of mouse forebrain structures. Using anatomical landmarks defined on diffusion tensor images, tissue level growth patterns of mouse brains were quantified. The results demonstrate the use of these techniques to three-dimensionally and quantitatively characterize brain growth.

KW - Computational neuroanatomy

KW - Diffusion tensor

KW - Microimaging

KW - Mouse brain development

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Mapping postnatal mouse brain development with diffusion tensor microimaging

Abstract

Keywords

ASJC Scopus subject areas

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