Uma Aplicação Adaptativa, Realista e Interativa em Realidade Virtual para Incisão e Sutura Cirúrgica
Abstract
We present a work in progress, on a prototype of an adaptive, realistic and interactive virtual reality application for incision and suture of tissues, muscles and blood vessels, which, in real-time, allows the modification of their own rules according to the expertise of the user. The goal is to training health professionals with different profiles and skill levels, through interaction using haptic devices with virtual deformable bodies, represented by layers of tissue. The organs behavior is governed by Dynamics and the system follows a heterogeneous programming model on CPU-GPU.
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Brodtkorb, A. R., Hagen, T. R., e Sætra, M. L. (2013). Graphics processing unit (GPU) programming strategies and trends in GPU computing. JPDC, 73(1):4–13.
Esteban, G., Fernández, C., Conde, M., e García-Peñalvo, F. (2014). Playing with SHULE: Surgical haptic learning environment. In Proc. of TEEM’14, p. 247–253, NY, USA.
Fan, Y., Litven, J., and Pai, D. K. (2014). Active volumetric musculoskeletal systems. ACM TOG, 33(4):152:1–152:9.
Gaudina, M., Zappi, V., Bellanti, E., e Vercelli, G. (2013). Elaparo4d: A step towards a physical training space for virtual video laparoscopic surgery. In CISIS’13, p. 611–616, Washington, DC, USA. IEEE Computer Society.
Geomagic (2015). Phantom Omni. http://geomagic.com/en/products/phantom-omni/.
Kim, M., Chen, G., and Hansen, C. (2012). Dynamic particle system for mesh extraction on the GPU. In Proc. of the GPPGPU’2012, p. 38–46. ACM Press.
Matyka, M. and Ollila, M. (2003). Pressure model of soft body simulation. In Proc. of the SIGRAD’2003, UMEA, p. 29–34.
NovInt (2015). Novint Falcon. http://www.novint.com/index.php/novintfalcon.
Rhienmora, P., Gajananan, K., Haddawy, P., Dailey, M. N., and Suebnukarn, S. (2010). Augmented reality haptics system for dental surgical skills training. In Proc. of the ACM VRST’2010, p. 97–98. ACM Press.
Sanders, J., and Kandrot, E. (2010) CUDA by Example: An Introduction to General-Purpose GPU Programming, Addison-Wesley.
Wang, D., Zhang, Y., Hou, J., Wang, Y., Lv, P., Chen, Y., and Zhao, H. (2012). Idental: A haptic-based dental simulator and its preliminary user evaluation. IEEE Trans. Haptics, 5(4):332–343.
Zhang, J.-S., Chen, H., Wu, W., and Heng, P.-A. (2010). An interactive high-fidelity haptic needle simulator with GPU acceleration. In Proc. of the ACM VRCAI’2010, p. 347–352.
Published
2015-07-20
How to Cite
PONTES, Herleson; RODRIGUES, Maria Andréia.
Uma Aplicação Adaptativa, Realista e Interativa em Realidade Virtual para Incisão e Sutura Cirúrgica. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 15. , 2015, Recife.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2015
.
p. 241-244.
ISSN 2763-8952.
DOI: https://doi.org/10.5753/sbcas.2015.10392.
