GPU Based Rician Noise Removal in MR Images Using Fast Gradient Projection Algorithm
Journal Title: Journal of Medical Science And clinical Research - Year 2015, Vol 3, Issue 6
Abstract
This paper presents a combined Fast Gradient Projection Method with Gabor filter technique for removing the Rician noise present in MR images using general purpose Graphics Processing Units (GPUs) and MATLAB. In this work, the capability of GPUs such as processing tens of thousands of threads in parallel on the array of computing units were utilized to implement the various functions involved in the Rician noise removal algorithms in order to achieve higher computing speed required for real-time implementation. In the proposed method, the Gradient projection filter was employed to denoise and to identify the artifacts in the MR images. For estimating the performance of the proposed method, Rician noise of different levels were added to brain MR images and tested in the proposed algorithm. The results of this study reveal that the proposed method removes the Rician noise without affecting the diagnostic details. This is further supported through visual inspection as well as estimated performance metrics
Authors and Affiliations
Jayabal Papitha
Keywords
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