VisibleUS: From Cryosectional Images to Real-Time Ultrasound Simulation

Abstract
The VisibleUS project aims to generate synthetic ultrasound images from cryosection images, focusing on the musculoskeletal system. Cryosection images provide a highly accurate representation of real tissue structures without artifacts. Using this rich anatomical data, we developed a ray-tracing-based simulation algorithm that models ultrasound wave propagation, scattering, and attenuation. This results in highly realistic ultrasound images that accurately depict fine anatomical details, such as muscle fibers and connective tissues. The simulation tool has various applications, including generating datasets for training neural networks and developing interactive training tools for ultrasound specialists. Its ability to produce realistic ultrasound images in real time enhances medical education and research, improving both the understanding and interpretation of ultrasound imaging.
Description

CCS Concepts: Computing methodologies → Ray tracing; Image-based rendering; Applied computing → Interactive learning environments

        
@inproceedings{
10.2312:egp.20251021
, booktitle = {
Eurographics 2025 - Posters
}, editor = {
Günther, Tobias
and
Montazeri, Zahra
}, title = {{
VisibleUS: From Cryosectional Images to Real-Time Ultrasound Simulation
}}, author = {
Casanova-Salas, Pablo
and
Gimeno, Jesus
and
Blasco-Serra, Arantxa
and
González-Soler, Eva María
and
Escamilla-Muñoz, Laura
and
Valverde-Navarro, Alfonso Amador
and
Fernández, Marcos
and
Portalés, Cristina
}, year = {
2025
}, publisher = {
The Eurographics Association
}, ISSN = {
1017-4656
}, ISBN = {
978-3-03868-269-1
}, DOI = {
10.2312/egp.20251021
} }
Citation