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J. Jensen (2004)
Simulation of advanced ultrasound systems using Field II2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821)
Benny Bürger, Sascha Bettinghausen, M. Rädle, J. Hesser (2013)
Real-Time GPU-Based Ultrasound Simulation Using Deformable Mesh ModelsIEEE Transactions on Medical Imaging, 32
Eric Veach, L. Guibas (1997)
Metropolis light transportProceedings of the 24th annual conference on Computer graphics and interactive techniques
Arthur Appel (1968)
Some techniques for shading machine renderings of solidsProceedings of the April 30--May 2, 1968, spring joint computer conference
T. Reichl, J. Passenger, O. Acosta, Olivier Salvado (2009)
Ultrasound goes GPU: real-time simulation using CUDA, 7261
B. Oosterveld, J. Thijssen, W. Verhoef (1985)
Texture of B-mode echograms: 3-D simulations and experiments of the effects of diffraction and scatterer density.Ultrasonic imaging, 7 2
Hang Gao, H. Choi, Piet Claus, Steven Boonen, S. Jaecques, G. Lenthe, Georges Perre, W. Lauriks, J. D’hooge (2009)
A fast convolution-based methodology to simulate 2-Dd/3-D cardiac ultrasound imagesIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 56
W. Wein, S. Brunke, A. Kamen, M. Callstrom, Nassir Navab (2008)
Automatic CT-ultrasound registration for diagnostic imaging and image-guided interventionMedical image analysis, 12 5
Gerd Reis, Bernd Lappé, Sascha Köhn, Christopher Weber, M. Bertram, H. Hagen (2008)
Towards a Virtual Echocardiographic Tutoring System
O. Mattausch, O. Goksel (2016)
Image-Based PSF Estimation for Ultrasound Training Simulation
Julian Beitzel, Seyed-Ahmad Ahmadi, A. Karamalis, W. Wein, Nassir Navab (2012)
Ultrasound bone detection using patient-specific CT prior2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Y. Otake, M. Armand, R. Armiger, M. Kutzer, E. Basafa, P. Kazanzides, R. Taylor (2012)
Intraoperative Image-based Multiview 2D/3D Registration for Image-Guided Orthopaedic Surgery: Incorporation of Fiducial-Based C-Arm Tracking and GPU-AccelerationIEEE Transactions on Medical Imaging, 31
Eric Lafortune (1995)
Mathematical Models and Monte Carlo Algorithms for Physically Based Rendering
A. Appel (1968)
Proceedings of the Spring Joint Computer Conference
J. Meunier, M. Bertrand, G. Mailloux (1987)
A Model For Dynamic Texture Analysis In Two-Dimensional Echocardiograms Of The Myocardium, 0768
J. Koskela, E. Vahala, M. Greef, L. Lafitte, M. Ries (2014)
Stochastic ray tracing for simulation of high intensity focal ultrasound therapy.The Journal of the Acoustical Society of America, 136 3
J. Meunier, M. Bertrand (1993)
Ultrasonic texture motion analysis: theory and simulation, 1896
A. Glassner (1989)
An introduction to ray tracing
J. Cychosz (1993)
An introduction to ray tracingComput. Graph., 17
A. Karamalis, W. Wein, N. Navab (2010)
Proceedings of MICCAI
M. Salehi, Seyed-Ahmad Ahmadi, R. Prevost, Nassir Navab, W. Wein (2015)
Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization
J. Beitzel, S. A. Ahmadi, A. Karamalis, W. Wein, N. Navab (2012)
Proceedings IEEE EMBC
T. Varslot, G. Taraldsen (2005)
Computer simulation of forward wave propagation in soft tissueIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 52
T. Varslot, S. Måsøy (2006)
Forward propagation of acoustic pressure pulses in 3D soft biological tissue, 27
T. Whitted (1980)
An improved illumination model for shaded displayCommun. ACM, 23
J. Jensen (2004)
Proceedings of ISBI
O. Mattausch, O. Goksel (2015)
Scatterer reconstruction and parametrization of homogeneous tissue for ultrasound image simulation2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
C. Tanner, B. Flach, C. Eggenberger, O. Mattausch, M. Bajka, O. Goksel (2016)
4D Reconstruction of Fetal Heart Ultrasound Images in Presence of Fetal Motion
A. Karamalis, W. Wein, Nassir Navab (2010)
Fast Ultrasound Image Simulation Using the Westervelt EquationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 13 Pt 1
J. Bamber, R. Dickinson (1980)
Ultrasonic B-scanning: a computer simulation.Physics in medicine and biology, 25 3
Ray‐based simulations have been shown to generate impressively realistic ultrasound images in interactive frame rates. Recent efforts used GPU‐based surface raytracing to simulate complex ultrasound interactions such as multiple reflections and refractions. These methods are restricted to perfectly specular reflections (i.e. following only a single reflective/refractive ray), whereas real tissue exhibits roughness of varying degree at tissue interfaces, causing partly diffuse reflections and refractions. Such surface interactions are significantly more complex and can in general not be handled by conventional deterministic raytracing approaches. However, these can be efficiently computed by Monte‐Carlo sampling techniques, where many ray paths are generated with respect to a probability distribution. In this paper, we introduce Monte‐Carlo raytracing for ultrasound simulation. This enables the realistic simulation of ultrasound‐tissue interactions such as soft shadows and fuzzy reflections. We discuss how to properly weight the contribution of each ray path in order to simulate the behaviour of a beamformed ultrasound signal. Tracing many individual rays per transducer element is easily parallelizable on modern GPUs, as opposed to previous approaches based on recursive binary raytracing. We further propose a significant performance optimization based on adaptive sampling.
Computer Graphics Forum – Wiley
Published: Jan 1, 2018
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