2010
DOI: 10.1002/mrm.22426
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Three‐dimensional diffusion tensor microimaging for anatomical characterization of the mouse brain

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, t… Show more

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Cited by 84 publications
(148 citation statements)
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“…A number of authors (24)(25)(26)(27)38) have elegantly demonstrated the value of MRI diffusionbased tractography in understanding the microstructural mouse brain organization and its intricate connectional anatomy. These ex vivo investigations were performed using ultra- (26,27) or high-field magnets (24,25,38), and revealed brain anatomical details with a resolution of reconstructed fiber density maps reaching 20 μm 3 (27). By using a unique combination of global tractography and fiber-mapping methods, we tailored our hrFM to reach the optical microscopy level, identifying with high definition connectional networks across the whole living mouse brain.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…A number of authors (24)(25)(26)(27)38) have elegantly demonstrated the value of MRI diffusionbased tractography in understanding the microstructural mouse brain organization and its intricate connectional anatomy. These ex vivo investigations were performed using ultra- (26,27) or high-field magnets (24,25,38), and revealed brain anatomical details with a resolution of reconstructed fiber density maps reaching 20 μm 3 (27). By using a unique combination of global tractography and fiber-mapping methods, we tailored our hrFM to reach the optical microscopy level, identifying with high definition connectional networks across the whole living mouse brain.…”
Section: Discussionmentioning
confidence: 99%
“…Many cellular structures or fiber pathways of biological interest are small in comparison with the scale of the imaging voxel. Increased signal-to-noise ratio (SNR) and further improvement of the spatial resolution could, however, be achieved with high (24,25) and ultrahigh-field scanners (26), or at the expense of very long acquisition times.…”
mentioning
confidence: 99%
“…Diffusion tensor data were acquired using the diffusionweighted three-dimensional (3D) GRASE sequence with the following parameters: TE = 33 ms; TR = 800 ms; bandwidth = 100 kHz; FOV = 17.0 · 14.0 · 25.8 mm; matrix size = 128 · 96 · 192 (zeropadded to 256 · 192 · 384); and number of averages = 4. 22 For DTI, six diffusion-weighted images (b-value, 1700 s/mm 2 ) and two nondiffusion-weighted images were acquired with d = 3 ms and D = 15 ms. Diffusion tensors were calculated using a log-linear fitting method using DTIStudio (http://www.mristudio.org), and fractional anisotropy (FA) maps were calculated from the tensor data.…”
Section: Diffusion Tensor Imagingmentioning
confidence: 99%
“…DWI is inherently sensitive to motion to measure microscopic water displacement; and therefore, voluntary and involuntary movement can severely affect image quality [129,131,154]. The use of respiratory gating and the navigator sequence has been developed to reduce these artefacts [170].…”
Section: Limitations Of Dwi Studies In Animal Modelsmentioning
confidence: 99%