Diffusion MRI is a non-invasive technique to study brain microstructure. Differences in the
microstructural properties of tissue, including size and anisotropy, can be represented in the …

Abstract Denoising Magnetic Resonance (MR) image is a challenging task. These images
usually comprise more features and structural details when compared to other types of …

This paper proposes a novel approach for elimination of noises from MRI images using
hybrid adaptive algorithm based on DWT and ICA. MRI images are usually corrupted by …

For researchers, denoising of Magnetic Resonance (MR) image is a greatest challenge in
digital image processing. In this paper, the impulse noise and Rician noise in the medical …

Many noise removal algorithms have been introduced so far for denoising of MRI images
like a bilateral filter, wavelet transform, maximum likelihood, non-local means, etc. All the …

Magnetic resonance imaging (MRI) has been a premier clinical imaging modality, but the
imaging data are often corrupted by noise, which can significantly affect their clinical utility …

Abstract Magnetic Resonance Imaging (MRI) is extensively employed in medical, scientific
and investigative contexts today. Noise on the other hand, restricts the diagnostic utility of …

This paper investigates a novel PDE-constrained optimization model with discontinuous
variable exponent p (x) identification. Since the parameter p is always related to a better …

This paper presents a new fuzzy-based method for the segmentation of brain structures from
noisy magnetic resonance (MR) images, in the presence of noise. Our algorithm is a new …

Abstract Magnetic Resonance Imaging (MRI) has become an increasingly essential tool in
clinical detection and diagnosis for its ability to disclose the distinctive information of human …