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Duelmer, F. ; Azampour, M.F.* ; Wysocki, M.* ; Navab, N.*

UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation.

In: (28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, 23-27 September 2025, Daejeon). Berlin [u.a.]: Springer, 2026. 653-662 (Lect. Notes Comput. Sc. ; 15961 LNCS)
DOI
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.
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Publikationstyp Artikel: Konferenzbeitrag
Schlagwörter Physics-based Simulation ; Ray Tracing ; Reflection Modeling ; Ultrasound
Sprache englisch
Veröffentlichungsjahr 2026
HGF-Berichtsjahr 2026
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Konferenztitel 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025
Konferzenzdatum 23-27 September 2025
Konferenzort Daejeon
Zeitschrift Lecture Notes in Computer Science
Quellenangaben Band: 15961 LNCS, Heft: , Seiten: 653-662 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Berlin [u.a.]
Institut(e) Institute of Biological and Medical Imaging (IBMI)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-505593-001
DOI 10.1007/978-3-032-04937-7_62
Scopus ID 105017848600
Erfassungsdatum 2025-10-23
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