Remote Access of Medical Image Processing and 3D Visualization Application using Raspberry Pi

  • Authors

    • Sreepathy H V
    • Nandish S
    • Chaitanya CVS
    2018-08-04
    https://doi.org/10.14419/ijet.v7i3.1.17080
  • Java Client, Raspberry Pi, VTK, X server

  • Abstract

    With the extensive growth in technology, healthcare sector has benefitted a lot recently. Looking into the academic research and validation in the area of medical image processing and visualization, many platforms and the open-source resources are available. Insight toolkit (ITK) and visualization toolkit (VTK) are extensively used for medical image processing and 3D visualization respectively. Resources used to develop an application using ITK-VTK and same resources be used to deliver it to the users such as, clinicians, doctors etc. This can be achieved by using respective hardware and the infrastructure. In the proposed article, the infrastructure and resource used to build and deploy the application and remote access given to the users are elucidated.

     

     

  • References

    1. [1] Nandish S, Gopalakrishna Prabhu, K.V. Rajagopal, “3D Visualization of Brain CT and MRI Sequence Using VTKâ€, JARDCS, Special Issue 13, pp. 854-858, December 2017

      [2] The VTK User’s Guide, 11th Edition, Kitware, Inc, 2010.

      [3] Roland Unterhinninghofen, Frederik Giesel, R¨udiger Dillmann, “MEDIFRAME – Remote Volume Rendering Visualization Frameworkâ€, Proceedings of IEEE EMBS, 33rd Annual International Conference, pp. 2368-2371, September 2011.

      [4] Bernd F. Tomandl, MD,Peter Hastreiter, Christof Rezk-Salama, ,Klaus Engel, et.al, “Local and Remote Visualization Techniques for Interactive Direct Volume Rendering in Neuroradiologyâ€, Radiographics, Volume 21, No. 6, pp. 15761-1572, December 2001.

      [5] Nandish S, Gopalakrishna Prabhu K, Rajagopal KV, Mohandas Rao K G, Manjunath Shetty, “3D Visualization and Dept Peeling of Pulmonary Vasculature and Lung Lesion Using Plain CT Sequenceâ€, IEEE Fourth International Conference on Image Information Processing, pp. 34-37, December 2017

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  • How to Cite

    H V, S., S, N., & CVS, C. (2018). Remote Access of Medical Image Processing and 3D Visualization Application using Raspberry Pi. International Journal of Engineering & Technology, 7(3.1), 171-173. https://doi.org/10.14419/ijet.v7i3.1.17080

    Received date: 2018-08-08

    Accepted date: 2018-08-08

    Published date: 2018-08-04