Implementation of Iterative bilateral filtering for removal of Rician noise in MR images using FPGA
Durga Pathrikar1, V. N. Jirafe2
1Mrs. Durga Pathrikar, Department of Electronics and Telecommunication, PES’s Modern College of Engineering, Pune, India.
2Prof. Mrs. V. N. Jirafe, Professor, Department of Electronics and Telecommunication, PES’s Modern College of Engineering, Pune, India.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 279-284 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4351099320 | DOI: 10.35940/ijrte.C4351.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Magnetic resonance image noise reduction is important to process further and visual analysis. Bilateral filter is denoises image and also preserves edge. It proposes Iterative bilateral filter which reduces Rician noise in the magnitude magnetic resonance images and retains the fine structures, edges and it also reduces the bias caused by Rician noise. The visual and diagnostic quality of the image is retained. The quantitative analysis is based on analysis of standard quality metrics parameters like peak signal-to-noise ratio and mean structural similarity index matrix reveals that these methods yields better results than the other proposed denoising methods for MRI. Problem associated with the method is that it is computationally complex hence time consuming. It is not recommended for real time applications. To use in real time application a parallel implantation of the same using FPGA is proposed.
Keywords: Iterative Bilateral Filtering, MRI, Rician Noise, FPGA