Magnetic resonance imaging (MRI) is a popular radiology technique that is used for visualizing detailed internal structure of the body. Observed MRI images are generated by the inverse Fourier transformation from received frequency signals of a MR scanner system. Previous research has demonstrated that random noise involved in the observed MRI images can be described adequately by the so-called...

PURPOSE Diffusion kurtosis imaging (DKI) is a recent improvement over diffusion tensor imaging that characterizes tissue by quantifying non-gaussian diffusion using a 3D fourth-order kurtosis tensor. DKI needs to consider three constraints to be physically relevant. Further, it can be improved by considering the Rician signal noise model. A DKI estimation method is proposed that considers all t...

Medical image segmentation is a crucial process for computer-aided diagnosis and surgery. refers to portioning the images into small, disjointed parts simplifying processes of analysis examination. Rician speckle noise are different types in magnetic resonance imaging (MRI) that affect accuracy negatively. Therefore, enhancement has significant role MRI segmentation. This paper proposes novel f...

Orthogonal Frequency Division Multiplexing (OFDM) plays a prominent role in wireless communication technology as multicarrier transmission scheme. The IEEE 802.11a standard uses coded OFDM scheme. This paper is to evaluate the performance of Coded OFDM system in different channels. Linear Block Code (LBC) with Extended Hamming is used to check the improvement of the system performance in BER (b...

The performance of cooperative network can be increased by using relay selection technique. Therefore, interest in relay selection is sloping upward. We proposed two new relay selection schemes based on fuzzy logic for dual hop cooperative communication. These relay selection schemes require SNR (signal to noise ratio), cooperative gain and channel gain as input fuzzy parameters for selection o...

In this paper we have present performance analysis of different equalization techniques such as minimum mean– squared error (MMSE), Least mean square (LMS), Recursive Least Square (RLS) linear equalizers and MMSE-Decision Feedback equalizer (DFE), LMS-DFE, RLS-DFE non-linear equalizers in different channel conditions, in order to achieve optimal equalizer. In our simulation model we have consid...

A long-standing problem in magnetic resonance imaging (MRI) is the noise-induced bias in the magnitude signals. This problem is particularly pressing in diffusion MRI at high diffusion-weighting. In this paper, we present a three-stage scheme to solve this problem by transforming noisy nonCentral Chi signals to noisy Gaussian signals. A special case of nonCentral Chi distribution is the Rician ...