Analysis of Discrete Wavelet Transform for Denoising of Breast CT Image

Abstract

During acquisition of medical images noise gets induced in the digital image by various effects. The state of art devices used for capturing the images introduces complex type of addition noise in the images. No medical imaging devices are noise free. The most commonly used medical images are acquired from MRI (Magnetic Resonance Imaging), CT (Computed Tomography) and X-ray equipment’s. Additive noise into medical image decreases the visual quality that complicates diagnosis and treatment planning. Additional random noise can be easily removed using simple thresholding methods. This article discusses about the algorithm using discrete wavelet transform (DWT) for denoising medical images. Results obtained shows that the algorithm can achieve high Peak Signal to Noise Ratio (PSNR) for the medical images that are corrupted with random noise.

Keywords: CT, X-Ray, Denoising, DWT, MRI, thresholding, random noise, PSNR, MSE, MAE

Cite this Article

Yogesh S. Bahendwar, R. H. Talwekar. Analysis of Discrete Wavelet Transform for Denoising of Breast CT Image. Research & Reviews: Journal of Medical Science and Technology. 2018; 7(1): 27–31p.