Systems and methods to improve resolution of ultrasound images with a neural network

Abstract

The current disclosure provides for mapping ultrasound images to resolution mapped ultrasound images using generative neural networks, while maintaining clinical quality of the resolution mapped ultrasound image, thereby enabling a clinician to evaluate ultrasound images in a preferred resolution without loss of clinically relevant content. In one embodiment the current disclosure provides for a method comprising, acquiring a ultrasound image of an anatomical region of a subject, wherein the ultrasound image is in a first resolution, selecting a target resolution, wherein the target resolution is distinct from the first resolution, selecting a clinical quality metric, selecting a trained resolution mapping network based on the target resolution and the clinical quality metric, mapping the ultrasound image to a resolution mapped ultrasound image using the trained resolution mapping network, wherein the resolution mapped ultrasound image is in the target resolution, and displaying the resolution mapped ultrasound image via a display device.