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Performance Evaluation of Gabor Filter in Removing Rician Noise in MR Images

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Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 221))

Abstract

Magnetic Resonance images are contaminated by Rician distributed noise due to the presence of contrast-diminishing signal-dependent bias. In this paper, Gabor filter approach for bias removal in MR images is attempted. The filter was tested in four different brain MR images and the results obtained were compared qualitatively and quantitatively with the other four established filtering techniques. This study exhibits that the Gabor bias removal technique improved the contrast of the MR image that is found from the moderate increase in PSNR value and visual inspection by trained radiologist.

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Authors and Affiliations

  1. Central Instrumentation and Service Laboratory, University of Madras, Maraimalai Campus, Guindy, Chennai, 600 0025, Tamilnadu, INDIA

    J. Papitha & D. Nedumaran

Authors
  1. J. Papitha
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  2. D. Nedumaran
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Correspondence to D. Nedumaran .

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Editors and Affiliations

  1. , Computer Science & Engineering, Dr. N.G.P. Institute of Technology, Kalapatti Road, Coimbatore, 641048, Tamil Nadu, India

    Mohan S

  2. , Electronics & Communication Engineering, Dr. N.G.P. Institute of Technology, Kalapatti Road, Coimbatore, 641048, Tamil Nadu, India

    S Suresh Kumar

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Papitha, J., Nedumaran, D. (2013). Performance Evaluation of Gabor Filter in Removing Rician Noise in MR Images. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 221. Springer, India. https://doi.org/10.1007/978-81-322-0997-3_32

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  • DOI: https://doi.org/10.1007/978-81-322-0997-3_32

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0996-6

  • Online ISBN: 978-81-322-0997-3

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