A study of diffusion tensor imaging by tissue-specific, smoothing-compensated voxel-based analysis

@article{Lee2009ASO,
  title={A study of diffusion tensor imaging by tissue-specific, smoothing-compensated voxel-based analysis},
  author={Jee Eun Lee and Moo K. Chung and Mariana Lazar and Molly B. DuBray and Jinsuh Kim and Erin D. Bigler and Janet E. Lainhart and Andrew L. Alexander},
  journal={NeuroImage},
  year={2009},
  volume={44},
  pages={870-883}
}
Voxel-based analysis (VBA) is commonly used for statistical analysis of image data, including the detection of significant signal differences between groups. Typically, images are co-registered and then smoothed with an isotropic Gaussian kernel to compensate for image misregistration, to improve the signal-to-noise ratio (SNR), to reduce the number of multiple comparisons, and to apply random field theory. Problems with typical implementations of VBA include poor tissue specificity from image… CONTINUE READING

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