Noise Reduction Techniques in Medical Imaging Data-A Review

Noise is an inherent property of medical imaging, and it generally tends to reduce the image resolution and contrast, thereby reducing the diagnostic value of this imaging modality, there is an emergent attentiveness in using multi-resolution Wavelet filters in a variety of medical imaging applications. We Have review recent wavelet based denoising techniques for medical ultrasound, magnetic resonance images, and some tomography imaging techniques like Positron Emission tomography and Computer tomography imaging and discuss some of their potential applications in the clinical investigations of the brain. Our aim is to illustrate and estimate noise suppression methods based on both image processing and clinical expertise. Keywords—Image denoising, Image Enhancement, wavelets, magnetic resonance imaging, fMRI, ultrasound, positron emission tomography, computer tomography.