TY - GEN
T1 - UltraRay
T2 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025
AU - Duelmer, Felix
AU - Azampour, Mohammad Farid
AU - Wysocki, Magdalena
AU - Navab, Nassir
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Traditional ultrasound simulators solve the wave equation to model pressure distribution fields, achieving physical accuracy but requiring significant computational time and resources. Ray tracing approaches have been introduced to address this limitation, modeling wave propagation as rays interacting with boundaries and scatterers. However, existing models simplify ray propagation, generating echoes at interaction points without considering return paths to the sensor. This can result in undesired artifacts and necessitates careful scene tuning for plausible results. We propose UltraRay, a novel framework that models the full path of acoustic waves reflecting from tissue boundaries. We derive the equations for accurate reflection modeling across multiple interaction points and introduce a sampling strategy for an increased likelihood of a ray returning to the transducer. By incorporating a ray emission scheme for plane wave imaging and a standard signal processing pipeline for beamforming, we are able to simulate the ultrasound image formation process end-to-end. Built on a differentiable modular framework, UltraRay introduces an extendable foundation for differentiable ultrasound simulation based on full-path ray tracing. We demonstrate its advantages compared to the state-of-the-art ray tracing ultrasound simulation, shown both on a synthetic scene and a spine phantom.
AB - Traditional ultrasound simulators solve the wave equation to model pressure distribution fields, achieving physical accuracy but requiring significant computational time and resources. Ray tracing approaches have been introduced to address this limitation, modeling wave propagation as rays interacting with boundaries and scatterers. However, existing models simplify ray propagation, generating echoes at interaction points without considering return paths to the sensor. This can result in undesired artifacts and necessitates careful scene tuning for plausible results. We propose UltraRay, a novel framework that models the full path of acoustic waves reflecting from tissue boundaries. We derive the equations for accurate reflection modeling across multiple interaction points and introduce a sampling strategy for an increased likelihood of a ray returning to the transducer. By incorporating a ray emission scheme for plane wave imaging and a standard signal processing pipeline for beamforming, we are able to simulate the ultrasound image formation process end-to-end. Built on a differentiable modular framework, UltraRay introduces an extendable foundation for differentiable ultrasound simulation based on full-path ray tracing. We demonstrate its advantages compared to the state-of-the-art ray tracing ultrasound simulation, shown both on a synthetic scene and a spine phantom.
KW - Physics-Based Simulation
KW - Ray Tracing
KW - Reflection Modeling
KW - Ultrasound
UR - https://www.scopus.com/pages/publications/105017848600
U2 - 10.1007/978-3-032-04937-7_62
DO - 10.1007/978-3-032-04937-7_62
M3 - Conference contribution
AN - SCOPUS:105017848600
SN - 9783032049360
T3 - Lecture Notes in Computer Science
SP - 653
EP - 662
BT - Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings
A2 - Gee, James C.
A2 - Hong, Jaesung
A2 - Sudre, Carole H.
A2 - Golland, Polina
A2 - Alexander, Daniel C.
A2 - Iglesias, Juan Eugenio
A2 - Venkataraman, Archana
A2 - Kim, Jong Hyo
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 23 September 2025 through 27 September 2025
ER -