Comparison of mouse brain DTI maps using K-space average,image-space average,or no average approach |
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Authors: | Shu-Wei Sun Jennifer Mei Keelan Tuel |
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Institution: | 1. Basic Science, School of Medicine, Loma Linda University, CA;2. Radiation Medicine, School of Medicine, Loma Linda University, CA;3. Pharmaceutical Science, School of Pharmacy, Loma Linda University, CA;4. Bioengineering, University of California, Riverside, CA;5. Biology, University of California, Loma Linda University, CA |
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Abstract: | Diffusion tensor imaging (DTI) is achieved by collecting a series of diffusion-weighted images (DWIs). Signal averaging of multiple repetitions can be performed in the k-space (k-avg) or in the image space (m-avg) to improve the image quality. Alternatively, one can treat each acquisition as an independent image and use all of the data to reconstruct the DTI without doing any signal averaging (no-avg). To compare these three approaches, in this study, in vivo DTI data were collected from five normal mice. Noisy data with signal-to-noise ratios (SNR) that varied between five and 30 (before averaging) were then simulated. The DTI indices, including relative anisotropy (RA), trace of diffusion tensor (TR), axial diffusivity (λ║), and radial diffusivity (λ ⊥), derived from the k-avg, m-avg, and no-avg, were then compared in the corpus callosum white matter, cortex gray matter, and the ventricles. We found that k-avg and m-avg enhanced the SNR of DWI with no significant differences. However, k-avg produced lower RA in the white matter and higher RA in the gray matter, compared to the m-avg and no-avg, regardless of SNR. The latter two produced similar DTI quantifications. We concluded that k-avg is less preferred for DTI brain imaging. |
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Keywords: | DTI reconstruction k-space average Image-space average In vivo DTI Mouse brain |
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