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Applications of Virtual and Augmented Reality in Biomedical Imaging

  • Mobile & Wireless Health
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Abstract

Virtual and Augmented Reality has experienced a steady growth in medicine in recent years. At the same time, the radiological images play a central role in the diagnosis and planification of surgical approaches. The aim of this study is to present the first attempt to enhanced radiological image visualization using virtual and augmented reality for better planification and monitorization of surgeries. This application allows to move beyond traditional two-dimensional images towards three-dimensional models that can be visualized and manipulated with both Augmented Reality and Virtual Reality. We propose possible approaches to automate the segmentation of radiological images, using computer vision techniques and Artificial Intelligence.

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References

  1. Altobelli, D. E., Kikinis, R., Mulliken, J. B., Cline, H., Lorensen, W., and Jolesz, F., Computer-assisted three-dimensional planning in craniofacial surgery. Plastic Reconstruct. Surg. 92(4):576–585, 1993; discussion 586-7].

    Article  CAS  Google Scholar 

  2. Brammer, M., The role of neuroimaging in diagnosis and personalized medicine--current position and likely future directions. Dialogues Clin. Neurosc. 11:389–396, 2009.

    Google Scholar 

  3. Inoue, D., Kabata, T., Maeda, T., Kajino, Y., Fujita, K., Hasegawa, K. , Yamamoto, T., and Tsuchiya, H., Value of computed tomography-based three-dimensional surgical preoperative planning software in total hip arthroplasty with developmental dysplasia of the hip. J. Orthopaed. Sci., 2015.

  4. Seeram, E., Computed tomography: Physical principles, clinical applications, and quality control, fourth edition [chapter 11]. ISBN: 978–0–323-31288-2, 2016.

  5. Prionas, N. D., Ray, S., and Boone, J. M., Volume assessment accuracy in computed tomography: A phantom study. Journal of applied clinical medical physics, volume 11, number 2, Spring 2010.

  6. Zaiton, N. M., and Musbah, J., Aquel. survey on image segmentation techniques. Int. Conf. Commun. Manag. Inform. Technol. (ICCMIT 2015), 2015. https://doi.org/10.1016/j.procs.2015.09.02.

  7. Zaitoun, N. M., and Aqel, M. J., Survey on image segmentation techniques. Int. Conf. Commun. Manag. Inform. Technol. (ICCMIT), 2015. https://doi.org/10.1016/j.procs.2015.09.027.

  8. Sharma, N., and Aggarwal, L. M., Automated medical image segmentation techniques. J. Med. Phys., 2010. https://doi.org/10.4103/0971-6203.58777.

  9. González Izard, S., Juanes Méndez, J. A., and Palomera, P. R., Virtual reality educational tool for human anatomy. J. Med. Syst. 41:76, 2017. https://doi.org/10.1007/s10916-017-0723-6.

    Article  Google Scholar 

  10. S. González Izard , J.A. Juanes Méndez , J. M. Gonzalvez Estella , M.J. Sánchez Ledesma , F. J. García-Peñalvo , P. R. Palomera, Virtual simulation for scoliosis surgery, proceedings of the 5th international conference on technological ecosystems for enhancing Multiculturality, 1–8, 2017. Cádiz, Spain. doi:https://doi.org/10.1145/3144826.3145404.

  11. Belda, J., Leap Motion (II): principio de funcionamiento. Showleap Technologies, 2015. From http://blog.showleap.com/2015/05/leap-motion-ii-principio-de-funcionamiento/

  12. Marin, G., Dominio, F., and Zanuttigh, P., Hand gesture recognition with leap motion and kinect devices. Image Process. (ICIP), 2014 IEEE Int. Conf., 2014. https://doi.org/10.1109/ICIP.2014.7025313.

  13. Manolova, A., System for touchless interaction with medical images in surgery using leap motion. Radiocommunications and Videotechnologies Department Faculty of Telecommunications, Technical University of Sofia. Communications, Electromagnetics and Medical Applications (CEMA'14).

  14. Andriy, F. et al., 3D slicer as an image computing platform for the quantitative imaging network. Magnet. Reson. Imag. 30(9):1323–1134, 2012. https://doi.org/10.1016/j.mri.2012.05.001.

    Article  Google Scholar 

  15. A. Silvetti, C. Delrieux, S. Castro (2001). Una implementación eficiente del algoritmo Marching Cubes. http://hdl.handle.net/10915/23546

  16. Al-Shayea, Q. K., Artificial neural networks in medical diagnosis. IJCSI Int. J. Comput. Sci. 8(2):2011, 2011.

    Google Scholar 

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Acknowledgements

The authors would like to thank ARSOFT company for their technical work and the Education in Knowledge Society PhD Programme of the University of Salamanca for their support.

Funding

This project has been funded by the Spanish Ministry of Science, Innovation and Universities, as part of the Spanish National Program of Research, Development and Innovation for Challenges of Society, as part of the National Plan for Scientific and Technical Research and Innovation, with expedient number RTC-2017-6682-1.

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Correspondence to Santiago González Izard.

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González Izard, S., Juanes Méndez, J.A., Ruisoto Palomera, P. et al. Applications of Virtual and Augmented Reality in Biomedical Imaging. J Med Syst 43, 102 (2019). https://doi.org/10.1007/s10916-019-1239-z

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  • DOI: https://doi.org/10.1007/s10916-019-1239-z

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