Reduction of noise in diffusion tensor images using anisotropic smoothing.

Ding Z, Gore JC, Anderson AW
Magn Reson Med. 2005 53 (2): 485-90

PMID: 15678537 · DOI:10.1002/mrm.20339

To improve the accuracy of tissue structural and architectural characterization with diffusion tensor imaging, a novel smoothing technique is developed for reducing noise in diffusion tensor images. The technique extends the traditional anisotropic diffusion filtering method by allowing isotropic smoothing within homogeneous regions and anisotropic smoothing along structure boundaries. This is particularly useful for smoothing diffusion tensor images in which direction information contained in the tensor needs to be restored following noise corruption and preserved around tissue boundaries. The effectiveness of this technique is quantitatively studied with experiments on simulated and human in vivo diffusion tensor data. Illustrative results demonstrate that the anisotropic smoothing technique developed can significantly reduce the impact of noise on the direction as well as anisotropy measures of the diffusion tensor images.

MeSH Terms (16)

Algorithms Anisotropy Brain Computer Simulation Diffusion Magnetic Resonance Imaging Humans Image Enhancement Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Models, Biological Models, Statistical Numerical Analysis, Computer-Assisted Phantoms, Imaging Reproducibility of Results Sensitivity and Specificity Stochastic Processes

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