Deep learning-based self-high-resolution for 3D ultrasound imaging

For 3D ultrasound (US) images with large slice thickness, high frequency information in the slice direction is missing and cannot be resolved through interpolation. As an ill-posed problem, current high-resolution methods rely on the presence of external/training atlases to learn the transform from low resolution images to high resolution images. In this study, we aim to propose a self-supervised learning method, which does not use any external...