Shoaib, Muhammad Ali and Chuah, Joon Huang and Khalil, Azira and Ahmad Nizar, Muhammad Hanif and Lai, Khin Wee (2021) Anisotropic diffusion for reduction of speckle noise in knee articular cartilage ultrasound images. In: 3rd International Conference for Innovation in Biomedical Engineering and Life Sciences, ICIBEL 2020, 6 - 7 December 2019, Kuala Lumpur.
Full text not available from this repository.Abstract
Ultrasound imaging is a very common imaging technique used for the analysis of knee osteoarthritis. Ultrasound imaging has numerous advantages over other available imaging techniques. It is a low cost, non-invasive, and non-ionizing radiation imaging technique. Beside these advantages of ultrasound, the two main drawbacks of ultrasound imaging i.e. low contrast ratio and speckle noise make it difficult to diagnose the cartilage shape of the knee joint. The aim of this paper is to present a technique for making diagnosis of cartilage easier by removing the speckle noise while preserving the edges in US image. This paper proposes a modified diffusivity function which can not only removes the noise but also preserves the edges. The performance of the proposed method is evaluated using peak signal to noise ratio and Equivalent Number of Looks. © 2021, Springer Nature Switzerland AG.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | Ministry of Higher Education, Malaysia [Grant No: (FRGS) FP092-2018A] |
| Uncontrolled Keywords: | Diffusivity function; Edge preservation; Speckle noise |
| Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering > Biomedical Engineering Department Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 17 Oct 2023 03:08 |
| Last Modified: | 17 Oct 2023 03:08 |
| URI: | http://eprints.um.edu.my/id/eprint/35519 |
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