Super-Resolution Ultrasound Through Sparsity-Based Deconvolution and Multi-Feature Tracking.

ABSTRACT: Ultrasound super-resolution imaging through localisation and tracking of microbubbles can achieve sub-wave-diffraction resolution in mapping both micro-vascular structure and flow dynamics in deep tissue in vivo. Currently, it is still challenging to achieve high accuracy in localisation and tracking particularly with limited imaging frame rates and in the presence of high bubble concentrations. This study introduces microbubble image features into a Kalman tracking framework, and makes the framework compatible with sparsity-based deconvolution to address these key challenges. The performance of the method is evaluated on both simulations using individual bubble signals segmented from in vivo data and experiments on a mouse brain and a human lymph node. The simulation results show that the

SUBMITTER: Yan J 

PROVIDER: S-EPMC7614417 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature