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Original Articles

A virtual environment for ultrasound examination learning

, &
Pages 302-316 | Received 05 Jul 2017, Accepted 23 Jul 2018, Published online: 21 Aug 2018

References

  • Aiger D, Cohen-Or D. 1998. Real-time ultrasound imaging simulation. Real-Time Imaging. 4(4):263–274.
  • Alessandrini M, de Craene M, Bernard O, Giffard-Roisin S, Allain P, Waechter-Stehle I, Weese J, Saloux E, Delingette H, Sermesant M, et al. 2015. A pipeline for the generation of realistic 3D synthetic echocardiographic sequences: methodology and open-access database. IEEE Trans Med Imaging. 34(7):14361451.
  • Arkhurst W, Pommert A, Richter E, Frederking H, Kim SI, Schubert R, Höhne KH. 2001. A virtual reality training system for pediatric sonography. In: International congress series. Vol. 1230. Elsevier; p. 483–487. Accessed at http://www.sciencedirect.com/science/article/pii/S0531513101000619
  • Aulignac D, Laugier C, Troccaz J, Vieira S. 2006. Towards a realistic echographic simulator. Med Image Anal. 10(1):71–81.
  • Bamber JC, Dickinson RJ. 1980. Ultrasonic B-scanning: a computer simulation. Phys Med Biol. 25(3):463.
  • Block DJ, Michelotti MB, Sreenivas RS. 2013. Application of the Novint Falcon haptic device as an actuator in real-time control. Paladyn J Behav Robotics. 4(3):182–193.
  • Breitkreutz R, Schellhaas S, Schmitz-Rixen T, Kessler P, Walcher F. 2009. Ultrasound simulation of peripheral nerves: development of a novel technology for training in regional anaesthesia. Crit Ultrasound J. 1(1):5–11.
  • Carter FJ, Schijven MP, Aggarwal R, Grantcharov T, Francis NK, Hanna GB, Jakimowicz JJ. 2005. Consensus guidelines for validation of virtual reality surgical simulators. Surg Endosc Other Interv Tech. 19(12):1523–1532.
  • Chaoui J, Dardenne G, Hamitouche C, Stindel E, Roux C, 2009. Virtual movements-based calibration method of ultrasound probe for computer assisted surgery. Biomedical Imaging: From Nano to Macro. ISBI’09. IEEE International Symposium on 1207–1210.
  • Courtecuisse H, Jung H, Allard J, Duriez C, Lee DY, Cotin S. 2010. GPU-based real-time soft tissue deformation with cutting and haptic feedback. Prog Biophys Mol Biol. 103(2):159–168.
  • Dardenne G, Chaoui J, Hamitouche C, Stindel E, Aliotti A, Roux C. PCT/EP08855881. 2008. Method for calibrating ultrasound probes.
  • Delgorge C, Courrges F, Bassit LA, Novales C, Rosenberger C, Smith-Guerin N, Vieyres P. 2005. A tele-operated mobile ultrasound scanner using a light-weight robot. IEEE Trans Inf Technol Biomed. 9(1):50–58.
  • Driscoll J. 2007. Practising clinical supervision: A reflective approach for healthcare professionals. Elsevier Health Sciences. UK: bailliere tindall elsevier
  • Ehricke HH. 1998. SONOSim3D: a multimedia system for sonography simulation and education with an extensible case database. Eur J Ultrasound. 7(3):225–230.
  • El-Sana J, Varshney A. 2000. Continuously-adaptive haptic rendering. Virtual Environments. Vienna: Springer; p. 135–144.
  • Fuchs P, Moreau G, Guitton P. 2011. Virtual reality: concepts and technologies. Boca Raton (FL): CRC Press, Inc.
  • Gao H, Choi HF, Claus P, Boonen S, Jaecques S, van Lenthe GH, van der Perre G, Lauriks W, D’hooge J. 2009. A fast convolution-based methodology to simulate 2-D/3-D cardiac ultrasound images. IEEE Trans Ultrason Ferroelectr Freq Control. 56(2):404–409.
  • Gillies DF, Williams CB. 1987. An interactive graphic simulator for the teaching of fibrendoscopic techniques. In: Eurographics. Eurographics Association p. 127–138.
  • Goksel O, Sapchuk K, Salcudean SE. 2011. Haptic simulator for prostate brachytherapy with simulated needle and probe interaction. IEEE Trans Haptics. 4(3):188–198.
  • Gordon MS. 1974. Cardiology patient simulator: development of an animated manikin to teach cardiovascular disease. Am J Cardiol. 34(3):350–355.
  • Gottschalk S, Lin MC, Manocha D, 1996. OBBTree: A hierarchical structure for rapid interference detection. In Proceedings of the 23rd ACM annual conference on Computer graphics and interactive techniques, 171–180.
  • Henry D, 2009. Outils pour la modelisation de structure et la simulation d’examens echographiques, PhD thesis, University Joseph Fourier Grenoble France.
  • Hollinger A, Wanderley MM, 2006. Evaluation of commercial force-sensing resistors. In Proceedings of International Conference on New Interfaces for Musical Expression.
  • Jensen JA. 1996. Field: A program for simulating ultrasound systems. In: Medical & Biological Engineering and Computing, editor. Tampere, Finland: 10th Nordicbaltic Conference on Biomedical Imaging. Vol. 4, 351–353. supplement 1, part 1.
  • Kohn S, Van Lengen RH, Reis G, Bertram M, Hagen H. 2004. Ves: virtual echocardiography system. The 4th IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP-04).
  • Lam CK, Sundaraj K, Sulaiman MN. 2014. Computer-based virtual reality simulator for phacoemulsification cataract surgery training. Virtual Real. 18(4):281–293.
  • Lehmann TM, Gnner C, Spitzer K. 1999. Survey: interpolation methods in medical image processing. IEEE Trans Med Imaging. 18(11):1049–1075.
  • Lertwiram S, Tanprayoon D, Prateepmanovong C, Treratanakulwong T, Charoenwet W, Kanongchaiyos P, 2011. A design and implementation for ultrasound practice system for fetal echocardiography. In Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry. 367–370. ACM.
  • Levine AI, DeMaria S Jr, Schwartz AD, Sim AJ. 2013. The comprehensive textbook of healthcare simulation. Verlag, NY: Springer Science and Business Media.
  • Liu L, Kutarnia J, Belady P, Pedersen P. 2015. Obstetric ultrasound simulator with task-based training and assessment. IEEE Trans Biomed Eng. 99(1):1.
  • Mantke R, Peitz U. 2011. Surgical ultrasound: an interdisciplinary approach for surgeons, internists, and ultrasound technicians. India: Thieme.
  • Martin S, Hillier N, 2009. Characterisation of the Novint Falcon haptic device for application as a robot manipulator. In Australasian Conference on Robotics and Automation (ACRA), 291–292.
  • Maul H, Scharf A, Baier P, Wstemann M, Gnter HH, Gebauer G, Sohn C. 2004. Ultrasound simulators: experience with the SonoTrainer and comparative review of other training systems. Ultrasound Obstetrics Gynecology. 24(5):581–585.
  • Mazzella F, Montgomery K, Latombe JC, 2002. The forcegrid: a buffer structure for haptic interaction with virtual elastic objects. In Robotics and Automation, 2002. Proceedings. ICRA’02. IEEE International Conference on, 939–946.
  • Ourahmoune A, Hamitouche C, Larabi S, 2014. Learning ultrasound gesture database: building and application to musculoskeletal ultrasound exams. In Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference 1809–1812.
  • Ourahmoune A, Larabi S, Hamitouche C. 2012. A survey of echographic simulators. In: Computational modelling of objects represented in images III: fundamentals, methods and applications. p. 273–276. Switzerland: Springer International Publishing.
  • Pan Z, Cheok AD, Yang H, Zhu J, Shi J. 2006. Virtual reality and mixed reality for virtual learning environments. Comput Graphics. 30(1):20–28.
  • Payr S. 2003. The virtual university’s faculty: an overview of educational agents. Appl Artif Intelligence. 17(1):119.
  • Persoon MC, Schout B, Martens EJ, Tjiam IM, Tielbeek AV, Scherpbier AJ, Hendrikx AJ. 2010. A simulator for teaching transrectal ultrasound procedures: how useful and realistic is it? Simul Healthcare. 5(5):311–314.
  • Peterlik I, Nouicer M, Duriez C, Cotin S, Kheddar A. 2011. Constraint-based haptic rendering of multirate compliant mechanisms. IEEE Trans Haptics. 4(3):175–187.
  • Peters TM. 2014. Real-time simulation of transesophageal echocardiography. Med Meets Virtual Reality 21: NextMed/MMVR. 21(196):436.
  • Petrinec K. 2013. Patient-specific interactive ultrasound image simulation based on the deformation of soft tissue. University of California. PHD of Philosophy in Computer Science.
  • Pirkowski A, Kempny A. 2013. The transesophageal echocardiography simulator based on computed tomography images. IEEE Trans Biomed Eng. 60(2):292–299.
  • Rickel J, Johnson WL. 1999. Animated agents for procedural training in virtual reality: perception, cognition and motor control. Appl Artif Intelligence. 13:343382.
  • Rohling R, Gee A, Berman L. 1999. A comparison of freehand three-dimensional ultrasound reconstruction techniques. Med Image Anal. 3(4):339–359.
  • Santos CT, Osrio FS, (2004). An intelligent and adaptive virtual environment and its application in distance learning. In Proceedings of the working conference on Advanced visual interfaces, 362–365. ACM.
  • Sclaverano S, Chevreau G, Vadcard L, Mozer P, Troccaz J. 2009. BiopSym: a simulator for enhanced learning of ultrasound-guided prostate biopsy. Stud Health Technol Inform. 142:301–306.
  • Shin D. 2017. The role of affordance in the experience of virtual reality learning: technological and affective affordances in virtual reality. Telematics Inform. Elseiver: Amsterdam. 34(8): 1826–1836
  • Shin D, Biocca F, Choo H. 2013. Exploring the user experience of three dimensional virtual learning environments. Behaviour Inf Technol. 32(2):203–214.
  • Sidhu HS, Olubaniyi BO, Bhatnagar G, Shuen V, Dubbins P. 2012. Role of simulation-based education in ultrasound practice training. J Ultrasound Med. 31(5):785–791.
  • Stallkamp J, Wapler M. 1997. UltraTrainer a training system for medical ultrasound examination. Stud Health Technol Inform. 50:298–301.
  • Storve S, Torp H. 2017. Fast simulation of dynamic ultrasound images using the GPU, in IEEE transactions on ultrasonics. Ferroelectr Freq Control. 64(10):1465–1477.
  • Sun B, McKenzie FD. 2011. Real-time sonography simulation for medical training. Int J Educ Inf Technol. 5(3):328–335.
  • Vidal FP, John NW, Healey AE, Gould DA. 2008. Simulation of ultrasound guided needle puncture using patient specific data with 3D textures and volume haptics. Comput Animat Virtual Worlds. 19(2):111–127.
  • Wang D, Zhang X, Zhang Y, Xiao J. 2013. Configuration-based optimization for six degree-of-freedom haptic rendering for fine manipulation. IEEE Trans Haptics. 6(2):167–180.
  • Weidenbach M, Drachsler H, Wild F, Kreutter S, Razek V, Grunst G, Janousek J. 2007. EchoComTEEa simulator for transoesophageal echocardiography. Anaesthesia. 62(4):347–353.
  • Weidenbach M, Trochim S, Kreutter S, Richter C, Berlage T, Grunst G. 2004. Intelligent training system integrated in an echocardiography simulator. Comput Biol Med. 34(5):407–425.
  • Weller R, Zachmann G, 2009. A unified approach for physically-based simulations and haptic rendering. In Proceedings of the 2009 ACM SIGGRAPH Symposium on Video Games, 151–159. ACM.
  • Williams CJ, Edie JC, Mulloy B, Flinton DM, Harrison G. 2013. Transvaginal ultrasound simulation and its effect on trainee confidence levels: a replacement for initial clinical training? Ultrasound. 21(2):50–56.
  • Xu D, Wang H. 2006. Intelligent agent supported personalization for virtual learning environments. Decis Support Syst. 42(2):825–843.
  • Yipeng H, Eli G, Li-Lin L, Weidi X, Barratt C, Vercauteren T, Alison Noble J. 2017. Freehand ultrasound image simulation with spatially-conditioned generative adversarial networks. CMMI/RAMBO/SWITCHMICCAI. editor. Molecular imaging, reconstruction and analysis of moving body organs, and stroke imaging and treatment, RAMBO 2017, CMMI 2017, SWITCH. Lecture Notes in Computer Science Vol. 10555, Quebec City, QC, Canada: Springer:Cham.
  • Zhuang Y, Canny J, 2000. Haptic interaction with global deformations. in robotics and automation, 2000. Proceedings. ICRA’00. IEEE International Conference on (3),2428–2433.
  • Zilles CB, Salisbury JK, 1995. A constraint-based god-object method for haptic display. In Intelligent Robots and Systems 95.’Human Robot Interaction and Cooperative Robots’, Proceedings. 1995 IEEE/RSJ International Conference on (3), 146–151.

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