Abstract
This paper proposes a novel methodology for improving the quality of magnetic resonance image (MRI). The presence of noise affects the image analysis task by degrading the visual contents of image. The proposed methodology integrates transform domain method, discrete wavelet transform with spatial domain filter, Non local means to smoothed out noisy interferences leading to the improvement of visual characteristics of MRI insights. The quantitative validation of the proposed technique has been done and experimental result shows the effectiveness of this algorithm over anisotropic diffusion, bilateral, trilateral and wavelet shrinkage filters.
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Acknowledgments
The authors would like to acknowledge EKO CT & MRI Scan Centre at Medical College and Hospitals Campus, Kolkata-700073 for providing brain MR images. Authors would like to acknowledge Board of Research in Nuclear Sciences (BRNS), Dept. of Atomic Energy for financially supporting the research work under the grant number 2013/36/38-BRNS/2350 dt. 25-11-2013.
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Nag, M.K., Koley, S., Chakraborty, C., Sadhu, A.K. (2015). Magnetic Resonance Image Quality Enhancement Using Transform Based Hybrid Filtering. In: Gupta, S., Bag, S., Ganguly, K., Sarkar, I., Biswas, P. (eds) Advancements of Medical Electronics. Lecture Notes in Bioengineering. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2256-9_4
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DOI: https://doi.org/10.1007/978-81-322-2256-9_4
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