Three-dimensional diffusion tensor microimaging for anatomical characterization of the mouse brain

Manisha Aggarwal, Susumu Mori, Tomomi Shimogori, Seth Blackshaw, Jiangyang Zhang

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

Abstract

Diffusion tensor imaging is gaining increasing importance for anatomical imaging of the developing mouse brain. However, the application of diffusion tensor imaging to mouse brain imaging at microscopic levels is hindered by the limitation on achievable spatial resolution. In this study, fast diffusion tensor microimaging of the mouse brain, based on a diffusionweighted gradient and spin echo technique with twin-navigator echo phase correction, is presented. Compared to echo planar and spin echo acquisition, the diffusion-weighted gradient and spin echo acquisition resulted in significant reduction in scan time and had minimal image distortion, thereby allowing acquisition at higher spatial resolution. In this study, three-dimensional diffusion tensor microimaging of the mouse brains at spatial resolutions of 50-60 μm revealed unprecedented anatomical details. Thin fiber bundles in the adult striatum and white matter tracts in the embryonic day 12 mouse brains were visualized for the first time. The study demonstrated that data acquired using the diffusion tensor microimaging technique allow three-dimensional mapping of gene expression data and can serve as a platform to study gene expression patterns in the context of neuroanatomy in the developing mouse brain.

Original languageEnglish (US)
Pages (from-to)249-261
Number of pages13
JournalMagnetic resonance in medicine
Volume64
Issue number1
DOIs
StatePublished - Jul 2010

Keywords

  • Brain
  • Diffusion tensor
  • Gene expression mapping
  • Microimaging
  • Mouse

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'Three-dimensional diffusion tensor microimaging for anatomical characterization of the mouse brain'. Together they form a unique fingerprint.

Cite this