Ultrasound Imaging based on the Variance of a Diffusion Restoration Model

arXiv:2403.15316v1 Announce Type: cross
Abstract: Despite today's prevalence of ultrasound imaging in medicine, ultrasound signal-to-noise ratio is still affected by several sources of noise and artefacts. Moreover, enhancing ultrasound image quality involves balancing concurrent factors like contrast, resolution, and speckle preservation. Recently, there has been progress in both model-based and learning-based approaches addressing the problem of ultrasound image reconstruction. Bringing the best from both worlds, we propose a hybrid reconstruction method combining an ultrasound linear direct model with a learning-based …

abstract arxiv contrast cs.cv cs.lg diffusion eess.iv image imaging medicine noise preservation progress quality resolution signal type variance