ABSTRACT
The detection and diagnosis of brain tumour within the early time frame for a better healthcare is important and necessary, but due to lack of resources and experts, it is a time-consuming task performed by the radiologists. To extract the images of area in question, it uses a kind of nuclear magnetic resonance technique. Although a lot of automatic machines and computer vision techniques with imaging modalities are widely used still dependency on experienced experts is high. Here one may say that computer-aided methodology for detection of brain tumour is important to overcome such limitations. In this paper, a matrix based mathematical model has been proposed from the compressed sensing theory and has been applied efficiently on various matrix completion issues, e.g. image and video compression video de-noising and dynamic MRI, compared with classical de-noising methods. This paper proposes the removal of both noise and aliasing artefacts in parallel MRI images by using an efficient and effective de-noising technique. Here MATLAB software is used for simulation and final results extraction.
