Automated reduction the speckle noise of the panoramic ultrasound images of Muscles and Tendons. (November 2020)

• Record Type: Journal Article
• Authors: Jabbar, Shaima Ibraheem; Day, Charles; Chadwick, Edward
• Is Part Of: Journal of physics. Volume 1660(2020)
• Publication Date: 2020-11
• Subjects: Speckle Noise Image Enhancement -- Non linear filters -- Speckle Noise Assessment Metrics and Musculoskeletal Ultrasound Imaging; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1660/1/012085
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Removing or reducing speckle noise is one of the main goals to ensure high quality panoramic ultrasound images of muscles and tendons. The presence of noise in the ultrasound image adds a difficulty in the interpretation of the image by clinicians and researchers. In this work, non-liner filter (local adaptive median filter (LAMF1)) has been developed to do a precise detection for speckle noise pixels and reduce its impact on the ultrasound images. It has been applied on three different types of ultrasound images: Based on using set of assessment metrics: Speckle Suppression Index (SSI), Speckle Suppression Mean Preservation Index (SMPI), Enhanced Edge Index (EEI) and Mean Preservation Speckle Suppression Index (MPSSI)), the new local adaptive median filter (LAMF2) has been compared to LAMF1 and Anisotropic Diffusion Filter (ADF). The performance of developed filter (LAMF2) outperformed the performance of LAMF1 as follows: SSI (3%), SMPI (4.79%), EEI (3.7%) and MPSSI (40%). Besides that, ADF has a high level of SSI, SMPI and MPSSI compared to new filter (LAMF2). However, ADF reported better numerical evaluations (EEI) than LAMF2. It is possible to obtain further performance improvements by combining characteristics of both filters (LAMF2 and ADF).