Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation

Abstract

To reduce data rate for power-limited portable ultrasound imaging systems, various compressed sensing approaches have been investigated. However, most of the existing approaches require either hardware changes or computationally expensive forward modeling of wave propagation. To overcome these limitations, here we propose a novel low rank interpolation method that exploits the annihilation property of ultrasound measurements. Specifically, based on the observation that the pre-beamformed signals from a ultrasound probe have significant redundancy in spatial domain, only random subset of scan line measurements are obtained and the missing data are interpolated using a recently proposed annihilating filter-based low-rank Hankel matrix approach (ALOHA). Moreover, we exploit temporal correlation between the measurements from consecutive frames by augmenting Hankel matrix side by side for a low rank matrix completion. Reconstruction results confirmed that the proposed method can effectively reduce the data rate for ultrasound acquisition without sacrificing the image quality.