A Novel and Efficient Method for Denoising and Compression of MR Images for Telemedicine Applications

Journal: GRENZE International Journal of Engineering and Technology
Authors: Ananda Resmi S, Ajith A
Volume: 1 Issue: 1
Grenze ID: 01.GIJET.1.1.13 Pages: 53-58


The presence of Rician noise is the major drawback of MR images for data storage, transmission and analysis for medical applications especially for diagnostic applications at remote locations. This work demonstrates an efficient method for removing the Rician noise and compression of MR image for data storage and transmission applications by preserving useful details. The method demonstrates a fast algorithm based on non local means and DCT based compression scheme for effective storage and transmission applications. This method was tested for 20 sets of MRI data for different noise level and its Peak signal to noise ratio (PSNR) value found acceptable for further applications. This algorithm was effectively degraded the presence of Rician noise which reduced the number of computations and thus by minimising the computational complexity and time of the system. The performance of the method is evaluated and compared by means of mean square error and Peak Signal to Noise Ratio of existing algorithm and it is observed that these parameters were outperformed with respect to existing algorithm which is acceptable for further analysis of MRI Image.

Download Now << BACK