超音波診断における音響陰影を考慮した自動プローブ操作モデルの提案

抄録

In ultrasound therapy, a clear ultrasound image is necessary to determine the exact irradiation position. However, there is a concern that the accuracy of irradiation may be degraded due to the black noise caused by the reflection of sound waves on hard tissues such as ribs and stones. In this study, we aim to automate ultrasound probe manipulation to support monitoring of ultrasound diagnosis. The acoustic shadow and the target organ in the ultrasound image are detected by deep learning, and the control model avoids overlapping imaging in real time based on the overlapping area information of the two. This makes it possible to monitor the treatment target without any acoustic shadows.