Speckle Noise Diffusion in Knee Articular Cartilage Ultrasound Images

Ali, Muhammad Shoaib and Hossain, Md Belayet and Hum, Yan Chai and Chuah, Joon Huang and Mohd Salim, Maheza Irna and Lai, Khin Wee (2019) Speckle Noise Diffusion in Knee Articular Cartilage Ultrasound Images. Current Medical Imaging, 16 (6). pp. 739-751. ISSN 1573-4056, DOI https://doi.org/10.2174/1573405615666190903143330.

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Official URL: https://doi.org/10.2174/1573405615666190903143330


Background: Ultrasound (US) imaging can be a convenient and reliable substitute for magnetic resonance imaging in the investigation or screening of articular cartilage injury. However, US images suffer from two main impediments, i.e., low contrast ratio and presence of speckle noise. Aims: A variation of anisotropic diffusion is proposed that can reduce speckle noise without compromising the image quality of the edges and other important details. Methods: For this technique, four gradient thresholds were adopted instead of one. A new diffusivity function that preserves the edge of the resultant image is also proposed. To automatically terminate the iterative procedures, the Mean Absolute Error as its stopping criterion was implemented. Results: Numerical results obtained by simulations unanimously indicate that the proposed method outperforms conventional speckle reduction techniques. Nevertheless, this preliminary study has been conducted based on a small number of asymptomatic subjects. Conclusion: Future work must investigate the feasibility of this method in a large cohort and its clinical validity through testing subjects with a symptomatic cartilage injury. © 2020 Bentham Science Publishers.

Item Type: Article
Funders: University Malaya RU Grant - Faculty Program (GPF008A-2018), FRGS (FP092-2018A), Ministry of Education Malaysia, Malaysia
Uncontrolled Keywords: Ultrasound; osteoarthritis; anisotropic diffusion; diffusivity function; gradients; flow function; edge preservation; speckle noise
Subjects: R Medicine
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 24 Jun 2020 01:05
Last Modified: 24 Jun 2020 01:05
URI: http://eprints.um.edu.my/id/eprint/24951

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