Wavelet based complex diffusion and its application in restoring DTI images
Weifeng Tian · Journal of Shanghai Normal University · 2008
To decrease the effects of the Rician noise,we adopted the wavelet-based complex diffusion method to smooth diffusion weighted images(DWI),which are of multi-channel typed.The presented smoothing strategy,which utilizes complex diffusion in wavelet domain,successfully removes noise while preserving both texture and edges.To evaluate quantitatively the efficiency of the presented method in accounting for the Rician noise introduced into the DWI,the peak-to-peak signal-to-noise ratio(PSNR) and signal-to-mean squared error ratio(SMSE) metrics are adopted.Based on the synthetic and real data,the apparent diffusion coefficients(ADC) are calculated and the fibers are tracked.Comparisons among the presented model,the wave shrinkage and complex diffusion smoothing method are made.All the experiment results prove quantitatively and visually the good performance of the presented filter.