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

Jiangyang Zhang1, Linda J Richards, Michael I Miller

  • 1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD21205, USA. jzhang3@jhmi.edu

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
PubMed
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Diffusion tensor imaging (DTI) reveals key morphological changes in developing mouse brains from embryo to adult. This research creates a digital atlas and database for studying brain development patterns.

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Biomedical Imaging

Background:

  • Mouse brain development involves complex morphological changes.
  • Understanding these changes is crucial for developmental neuroscience.
  • High-resolution imaging is needed for early-stage brain analysis.

Purpose of the Study:

  • To characterize spatial and temporal patterns of mouse brain development.
  • To utilize Diffusion Tensor Imaging (DTI) for detailed analysis.
  • To construct a database and digital atlas of developing mouse brains.

Main Methods:

  • Diffusion Tensor Imaging (DTI) was employed.
  • Landmark-based computational techniques were applied.
  • Analysis of a database of DTI results from embryonic to adult stages.

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Main Results:

  • DTI provided high resolution and contrast for embryonic and neonatal brains.
  • Morphological changes during mouse brain development were characterized.
  • A database and digital atlas are under construction.

Conclusions:

  • DTI is effective for studying mouse brain development.
  • Computational analysis of DTI data aids in understanding developmental patterns.
  • The created resources will support future research in neurodevelopment.