Localization Free Super-Resolution Microbubble Velocimetry Using a Long Short-Term Memory Neural Network.

ABSTRACT: Ultrasound localization microscopy is a super-resolution imaging technique that exploits the unique characteristics of contrast microbubbles to side-step the fundamental trade-off between imaging resolution and penetration depth. However, the conventional reconstruction technique is confined to low microbubble concentrations to avoid localization and tracking errors. Several research groups have introduced sparsity- and deep learning-based approaches to overcome this constraint to extract useful vascular structural information from overlapping microbubble signals, but these solutions have not been demonstrated to produce blood flow velocity maps of the microcirculation. Here, we introduce Deep-SMV, a localization free super-resolution microbubble velocimetry technique, based on a long shor

SUBMITTER: Chen X 

PROVIDER: S-EPMC10461750 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature