Deep learning-based interpretation and analysis of ultrasound raw data

Finished: 2024-05-23

MSc assignment

Ultrasound imaging has been widely used in clinical applications. Ultrasound images have also been intensively studied on various image processing approaches, including segmentation and registration, etc. However, the raw data of ultrasound (i.e. radio frequency data) are typically neglected and receive less attention.

In this MS thesis project, ultrasound raw data will be revisited and explored using deep learning methods to unveil some unique features that can be used for medical applications. The potential application will focus on orthopaedics, bone detection, and muscle activity monitoring.