activity
20182021
collaborators

7 papers

eess.IV2021

Estimating Mean Speed-of-Sound from Sequence-Dependent Geometric Disparities

Xenia Augustin, Lin Zhang, Orcun Goksel

In ultrasound beamforming, focusing time delays are typically computed with a spatially constant speed-of-sound (SoS) assumption. A mismatch between beamforming and true medium SoS…

eess.IV2021

Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images

Devavrat Tomar, Lin Zhang, Tiziano Portenier +1

Interactive simulation of ultrasound imaging greatly facilitates sonography training. Although ray-tracing based methods have shown promising results, obtaining realistic images re…

eess.IV2021

Learning Ultrasound Rendering from Cross-Sectional Model Slices for Simulated Training

Lin Zhang, Tiziano Portenier, Orcun Goksel

Purpose. Given the high level of expertise required for navigation and interpretation of ultrasound images, computational simulations can facilitate the training of such skills in…

cs.CV2020

Deep Image Translation for Enhancing Simulated Ultrasound Images

Lin Zhang, Tiziano Portenier, Christoph Paulus +1

Ultrasound simulation based on ray tracing enables the synthesis of highly realistic images. It can provide an interactive environment for training sonographers as an educational t…

cs.CV2020

Deep Network for Scatterer Distribution Estimation for Ultrasound Image Simulation

Lin Zhang, Valery Vishnevskiy, Orcun Goksel

Simulation-based ultrasound training can be an essential educational tool. Realistic ultrasound image appearance with typical speckle texture can be modeled as convolution of a poi…

cs.CV2018

Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging

Lin Zhang, Valery Vishnevskiy, Andras Jakab +1

Intravoxel incoherent motion (IVIM) imaging allows contrast-agent free in vivo perfusion quantification with magnetic resonance imaging (MRI). However, its use is limited by typica…