Contrast enhancement based denoising method in diffusion tensor imaging

In this paper, a new denoising and contrast enhancement method for DTI is proposed. Noise removal is given priority in existing denoising methods. In order to increase the visibility of structural details, contrast enhancement methods has to be used. In proposed method, a non-linear adaptive Gaussian denoising filter removes noises from the DTI. To increase the visibility of filtered micro structural details, a contrast enhancement method is also used. The proposed method is compared with the existing scalar Partial Differential Equation (PDE) and non local means (NLM) denoising methods. Quantitative measures are used for validating the efficiency of the proposed contrast enhancement method. The experiment results shows that the proposed method outperforms the scalar PDE method and NLM method.