Super-resolution ultrasound

Ultrasound Speckle Reduction via Super Resolution and Nonlinear Diffusion

Recently, some diffusion-based filtering methods have been developed such as anisotropic diffusion (AD) or nonlinear diffusion (ND), which can reduce the speckle noise, at the same time, preserve and enhance the edge/borders in ultrasound image. However, because of the granular pattern of speckle, it is quite difficult to reduce speckle exactly through diffusion-based methods only. In this pape...

Breast Microcalcification Detection Using Super-Resolution Ultrasound Image Reconstruction

Dynamic Spike Super-resolution and Applications to Ultrafast Ultrasound Imaging

We consider the dynamical super-resolution problem consisting in the recovery of positions and velocities of moving particles from low-frequency static measurements taken over multiple time steps. The standard approach to this issue is a two-step process: first, at each time step some static reconstruction method is applied to locate the positions of the particles with super-resolution and, sec...

Spatial and frequency-based super-resolution of ultrasound images

Modern ultrasound systems can output video images containing more spatial and temporal information than still images. Super-resolution techniques can exploit additional information but face two challenges: image registration and complex motion. In addition, information from multiple available frequencies is unexploited. Herein, we utilised these information sources to create better ultrasound i...

Super-resolution of Defocus Blurred Images

Super-resolution is a process that combines information from some low-resolution images in order to produce an image with higher resolution. In most of the previous related work, the blurriness that is associated with low resolution images is assumed to be due to the integral effect of the acquisition device’s image sensor. However, in practice there are other sources of blurriness as well, inc...