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J. Arnal, I. Mayzel, "Fuzzy Logic Method for Speckle Noise Reduction in Ultrasound Images and Its Parallel Implementation on Multi-Cores", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Twelfth International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 8, Paper 7.2, 2024, doi:10.4203/ccc.8.7.2

Keywords: parallel computing, fuzzy logic, medical ultrasound imaging, noise reduction, speckle noise, speckle reduction.

Abstract

This paper presents a parallel method aimed at reducing speckle noise in ultrasound medical images, utilizing fuzzy logic and the fuzzy peer group concept. The method is implemented on multi-core interfaces using Open Multi-Processing. The efficiency of the method is evaluated based on execution time, Mean Squared Error, and Peak Signal-to-Noise Ratio. The evaluation is conducted on medical images from the Ultrasoundcases database that have been contaminated with speckle noise. Experimental results demonstrate that the proposed method obtains good performance in terms of the aforementioned objective quality measures. Furthermore, the application of multi-core optimization strategies shows that the new filter can reduce speckle noise in real-time.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 8 PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 7.2 Fuzzy Logic Method for Speckle Noise Reduction in Ultrasound Images and Its Parallel Implementation on Multi-Cores J. Arnal and I. Mayzel Department of Computer Science and Artificial Intelligence, University of Alicante, Spain doi:10.4203/ccc.8.7.2 Full Bibliographic Reference for this paper J. Arnal, I. Mayzel, "Fuzzy Logic Method for Speckle Noise Reduction in Ultrasound Images and Its Parallel Implementation on Multi-Cores", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Twelfth International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 8, Paper 7.2, 2024, doi:10.4203/ccc.8.7.2 Keywords: parallel computing, fuzzy logic, medical ultrasound imaging, noise reduction, speckle noise, speckle reduction. Abstract This paper presents a parallel method aimed at reducing speckle noise in ultrasound medical images, utilizing fuzzy logic and the fuzzy peer group concept. The method is implemented on multi-core interfaces using Open Multi-Processing. The efficiency of the method is evaluated based on execution time, Mean Squared Error, and Peak Signal-to-Noise Ratio. The evaluation is conducted on medical images from the Ultrasoundcases database that have been contaminated with speckle noise. Experimental results demonstrate that the proposed method obtains good performance in terms of the aforementioned objective quality measures. Furthermore, the application of multi-core optimization strategies shows that the new filter can reduce speckle noise in real-time. download the full-text of this paper (PDF, 2400 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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