International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 175 - Number 25 |
Year of Publication: 2020 |
Authors: Khan Sumaiya, S.S. Kawathekar |
10.5120/ijca2020920798 |
Khan Sumaiya, S.S. Kawathekar . Anomaly Detection in Foetus using Ultrasound Invest Processing. International Journal of Computer Applications. 175, 25 ( Oct 2020), 38-45. DOI=10.5120/ijca2020920798
Ultrasound one of the main and popular medical imaging technology that can help a physician to check, diagnose and treat medical conditions. Anomaly (congenital abnormalities) is a common problem occurred in many new-borns. Anomalies if detected early can be very helpful in giving rational treatment of the new-born. Unidentified or untreated anomaly in the foetus can deteriorate the quality of life and can lead to loss of life. The latest advancements in ultrasound invest processing permits individuals to detect these abnormalities more efficiently and treat them more effectively. Some are Contrast-Enhanced Ultrasound Imaging, Super-Resolution Ultrasound Imaging, Sonoporation, High-Intensity Focused Ultrasound, 4-D Ultrasound, Molecular Ultrasound, 5-D Ultrasound, and Radiomic Ultrasound. Present-day ultrasound machines are completely computerized, which not only improves the signal to noise ratio of the arriving echoes but also offer great potential to the machine’s efficiency with respect to beam formation, signal processing, image display and archiving. The present review mainly focuses on the latest progress in ultrasound diagnosis, various patents filled, common challenges in ultrasound processing and proven techniques to overcome those challenges.