conclusions in the case of existence gaussian noise, the results confirm that denoising is not effective on the measurement of t2* value. in the case of image distortion by rician noise, a predictor model is proposed to estimate the original t2* value. the predictor model is used to estimate the t2* value of new patients. the predicted t2* values were in good agreement with the corresponding or...

although there are many methods for image denoising, but partial differential equation (pde) based denoising attracted much attention in the field of medical image processing such as magnetic resonance imaging (mri). the main advantage of pde-based denoising approach is laid in its ability to smooth image in a nonlinear way, which effectively removes the noise, as well as preserving edge throug...

The two hypotheses are usually distinguished by means of a test-statistic which is an “averaged” quantity computed by combining many observations. When a completely trustworthy ergodic probabilistic model exists for the fading and noise processes, then the probabilities of detection error will drop to zero with the number of observations as the test-statistic concentrates and a threshold can be...