Low latency 3D image streaming in medicine

Authors

  • Miklós Vincze BioTech Research Center, EKIK Óbuda University
  • Bence Biricz BioTech Research Center, EKIK Óbuda University
  • Abdallah Benhamida BioTech Research Center, EKIK Óbuda University
  • Miklós Kozlovszky John von Neumann Faculty of Informatics Óbuda University

DOI:

https://doi.org/10.52846/stccj.2023.3.2.53

Keywords:

Visualization, 3D visualization, multi-user, digital pathology, network communication, video streaming in medicine, virtual user generation, hardware utilization testing

Abstract

3D visualization has been present in medicine for several decades, just think of the CT (Computer Tomography) imaging modality, which is capable of creating 3D images of the examined object by determining the radiation attenuation coefficient. In addition to CT equipment, there are many solutions capable of collecting and displaying various 3D data (MRI [Magnetic Resonance Imaging], PET [Positron Emission Tomography], OCT [Optical Computer Tomography]). In digital pathology, 3D visualization is not nearly as widespread as the previously mentioned solutions. One of the main reasons for this is the size of the digitized pathological samples and the hardware resources required for their 3D visualization. In the paper, we present a client-server architecture that can provide a solution to the existing hardware limitations during the 3D visualization of digitized pathological samples. In the paper, we present the basic structure of our solution, several main functionalities, and the testing of the server software we developed.

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Published

2023-12-31

How to Cite

[1]
M. Vincze, B. Biricz, A. Benhamida, and M. . Kozlovszky, “Low latency 3D image streaming in medicine”, Syst. Theor. Control Comput. J., vol. 3, no. 2, pp. 20–26, Dec. 2023, doi: 10.52846/stccj.2023.3.2.53.
Received 2023-10-31
Accepted 2023-12-27
Published 2023-12-31