Casanova-Salas, PabloGimeno, JesusBlasco-Serra, ArantxaGonzález-Soler, Eva MaríaEscamilla-Muñoz, LauraValverde-Navarro, Alfonso AmadorFernández, MarcosPortalés, CristinaGünther, TobiasMontazeri, Zahra2025-05-092025-05-092025978-3-03868-269-11017-4656https://doi.org/10.2312/egp.20251021https://diglib.eg.org/handle/10.2312/egp20251021The 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.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Ray tracing; Image-based rendering; Applied computing → Interactive learning environmentsComputing methodologies → Ray tracingImagebased renderingApplied computing → Interactive learning environments10.2312/egp.202510212 pages