Image-Based Metrics in Ultrasound for Estimation of Global Speed-of-Sound

ArXi:2503.14094v2 Announce Type: replace-cross Accurate speed-of-sound (SoS) estimation is crucial for ultrasound image formation, yet conventional systems often rely on an assumed value for imaging. We propose to leverage conventional image analysis techniques and metrics as a novel and simple approach to estimate tissue SoS. We study eleven metrics in three categories for assessing image quality, image similarity and multi-frame variation, by testing them in numerical simulations and phantom experiments, as well as testing in an in vivo scenario.