Medical image processing: A review

Abstract

The advent of computer aided technologies image processing techniques have become increasingly important in a wide variety of medical applications. Intervention between the protection of useful diagnostic information and noise suppression must be treasured in medical images. Image denoising is an applicable issue found in diverse image processing and computer vision problems. There are various existing methods to denoise images. The important property of a good image denoising model is that it should completely remove noise as far as possible as well as preserve edges. This paper presents a review of some major work in area of image denoising. The objective in all discipline is to extract information about the scene being imaged. The rapid progress in computerized medical image reconstruction and the associated developments in analysis methods and computer-aided diagnosis has boosted medical imaging into one of the most important sub-fields in scientific imaging Ultrasound, MRI, CT-Scan, PET Scan are the medical techniques mainly used by the radiologist for visualization of internal structure of the human body without any surgery. These provide ample information about the human soft tissue, which helps in the diagnosis of human diseases.