Characterization of mouse brain and its development using diffusion tensor imaging and computational techniques.

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

Research output: Contribution to journalArticle

Abstract

Diffusion tensor magnetic resonance imaging (DTI) was used to study mouse brain development from early embryonic stage to adult. DTI provides necessary resolution and superb white matter and gray matter contrast in embryonic and neonatal brains for characterization of morphological changes during mouse brain development. A database and a digital atlas of developing mouse brains based on our DTI results are being constructed. To characterize the spatial and temporal patterns of mouse brain development, we applied landmark based computational techniques to analyze the database.

Original languageEnglish (US)
Pages (from-to)2252-2255
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
StatePublished - 2006
Externally publishedYes

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Diffusion tensor imaging
Diffusion Tensor Imaging
Brain
Databases
Diffusion Magnetic Resonance Imaging
Atlases
Magnetic resonance
Embryonic Development
Tensors
Imaging techniques

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

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abstract = "Diffusion tensor magnetic resonance imaging (DTI) was used to study mouse brain development from early embryonic stage to adult. DTI provides necessary resolution and superb white matter and gray matter contrast in embryonic and neonatal brains for characterization of morphological changes during mouse brain development. A database and a digital atlas of developing mouse brains based on our DTI results are being constructed. To characterize the spatial and temporal patterns of mouse brain development, we applied landmark based computational techniques to analyze the database.",
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