Automated Ultrasound Video Enhancement

Autor: Abathar Qahtan Aladi, Shaima Ibraheem Jabbar, Edward K. Chadwick, Charles R. Day
Rok vydání: 2021
Předmět:
Zdroj: 2021 International Conference on Communication & Information Technology (ICICT).
Popis: The video ultrasound imaging is one of the techniques that is in demand at the present time. The reason of using ultrasound video is to provide a clearer impression of the organ's details or any area in the body to a specialist. Therefore, automated improving of ultrasound video increase a chance of getting a correct diagnosis and it is possible to add as an option in the ultrasound machine (improving the ultrasound video during recording). In this paper, we introduced and applied a novel technique, which depends on the principle of fuzzy inference system, through designing an effective fuzzy rule to treat image regions of low contrast based on the analysis of the image properties. Proposed technique was performed on muscklusketal ultrasound video and musculoskeletal panoramic ultrasound image. The proposed technique is Fuzzy Inference Ultrasound Video (FIUV), a superior result was obtained when it applied on panoramic images compared to ultrasound video. The performance of the FIUV technique with approximately 18% greater than recent technique in the case of panoramic ultrasound images and 4% less than recent technique when was applied on ultrasound video. Therefore, the results showed that the response of the panoramic images to this proposed technique was more than the videography. However, as future work it is possible to modify this method and improve its performance on video imaging.
Databáze: OpenAIRE
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