TY - GEN
T1 - Automated Ultrasound Video Enhancement
AU - Jabbar, Shaima I.
AU - Day, Charles R.
AU - Aladi, Abathar Q.
AU - Chadwick, Edward K.
PY - 2021/10/26
Y1 - 2021/10/26
N2 - 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 musculoskeletal 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.
AB - 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 musculoskeletal 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.
KW - Fuzzy Inference Technique
KW - Image Contrast Enhancement
KW - musculoskeletal ultrasound panoramic imaging
KW - Ultrasound Video Imaging
UR - http://www.scopus.com/inward/record.url?scp=85118440164&partnerID=8YFLogxK
U2 - 10.1109/ICICT52195.2021.9568471
DO - 10.1109/ICICT52195.2021.9568471
M3 - Published conference contribution
AN - SCOPUS:85118440164
T3 - International Conference on Communication and Information Technology, ICICT 2021
SP - 37
EP - 42
BT - International Conference on Communication and Information Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Communication and Information Technology, ICICT 2021
Y2 - 5 June 2021 through 6 June 2021
ER -