Image-Based Reconstruction of Tissue Scatterers Using Beam Steering for Ultrasound Simulation.

Numerical simulation of ultrasound images can facilitate the training of sonographers. An efficient and realistic model for the simulation of ultrasonic speckle is the convolution of the ultrasound point-spread function with a distribution of point scatterers. Nevertheless, for a given arbitrary tissue type, a scatterer map that would generate a realistic appearance of that tissue is not known a priori.

Consistent reconstruction of 4D fetal heart ultrasound images to cope with fetal motion.

Purpose: 4D ultrasound imaging of the fetal heart relies on reconstructions from B-mode images. In the presence of fetal motion, current approaches suffer from artifacts, which are unrecoverable for single sweeps.

Methods: We propose to use many sweeps and exploit the resulting redundancy to automatically recover from motion by reconstructing a 4D image which is consistent in phase, space, and time.

Robust motion tracking in liver from 2D ultrasound images using supporters.

Purpose: Effectiveness of image-guided radiation therapy with precise dose delivery depends highly on accurate target localization, which may involve motion during treatment due to, e.g., breathing and drift.

Scatterer reconstruction and parametrization of homogeneous tissue for ultrasound image simulation.

Numerical simulation of ultrasound images can facilitate the training of sonographers. A realistic appearance of simulated ultrasonic speckle is essential for a plausible ultrasound simulation. An efficient and realistic model for ultrasonic speckle is the convolution of the ultrasound point-spread function with a parametrized distribution of point scatterers.