Real-time video streaming in medicine using virtual reality

Vincze, Miklós; Biricz, Bence; Kozlovszky, Miklós; Benhamida, Abdallah

doi:10.1109/saci58269.2023.10158657

Cited by 3 publications

(6 citation statements)

References 18 publications

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“…We have published the early results of our research in the form of conference papers in the past [27,28]. In these works, we presented the initial structure of a streaming-based solution that could be used to transmit 3D data in digital medicine [28].…”

Section: Previous Research Resultsmentioning

confidence: 99%

“…In these works, we presented the initial structure of a streaming-based solution that could be used to transmit 3D data in digital medicine [28]. In addition, the first versions of functionalities such as adaptive resolution change or buffering rules were presented in the paper [27]. In comparison to the previously published results, we continued the research and the implementation of the practical results at all points.…”

Section: Previous Research Resultsmentioning

confidence: 99%

“…In addition, it was important for us that users would be able to collaborate in real time on visualized 3D medical samples. For more information about the first structural plans regarding our streaming solution, see the following paper [27]. Our system is built on a client-server architecture.…”

Section: The Structure Of Our Solutionmentioning

confidence: 99%

“…In order to ensure stable operation under varying network conditions, we implemented a so-called ring buffer. For more information on our first implementation of the buffering rules, see the following paper [27]. In the ring buffer, each user stores their own frames received from the server.…”

Section: The Developed Client-side Buffering Rulesmentioning

confidence: 99%

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Real-Time Network Video Data Streaming in Digital Medicine

Vincze,

Molnar,

Kozlovszky

2023

Computers

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Today, the use of digital medicine is becoming more and more common in medicine. With the use of digital medicine, health data can be shared, processed, and visualized using computer algorithms. One of the problems currently facing digital medicine is the rapid transmission of large amounts of data and their appropriate visualization, even in 3D. Advances in technology offer the possibility to use new image processing, networking, and visualization solutions for the evaluation of medical samples. Because of the resolution of the samples, it is not uncommon that it takes a long time for them to be analyzed, processed, and shared. This is no different for 3D visualization. In order to be able to display digitalized medical samples in 3D at high resolution, a computer with computing power that is not necessarily available to doctors and researchers is needed. COVID-19 has shown that everyday work must continue even when there is a physical distance between the participants. Real-time network streaming can provide a solution to this, by creating a 3D environment that can be shared between doctors/researchers in which the sample being examined can be visualized. In order for this 3D environment to be available to everyone, it must also be usable on devices that do not have high computing capacity. Our goal was to design a general-purpose solution that would allow users to visualize large amounts of medical imaging data in 3D, regardless of the computational capacity of the device they are using. With the solution presented in this paper, our goal was to create a 3D environment for physicians and researchers to collaboratively evaluate 3D medical samples in an interdisciplinary way.

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Section: Previous Research Resultsmentioning

confidence: 99%

Section: Previous Research Resultsmentioning

confidence: 99%

Section: The Structure Of Our Solutionmentioning

confidence: 99%

Section: The Developed Client-side Buffering Rulesmentioning

confidence: 99%

See 2 more Smart Citations

Real-Time Network Video Data Streaming in Digital Medicine

Vincze,

Molnar,

Kozlovszky

2023

Computers

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“…This research is an extension of the authors' previous work [33]. In order to keep the minimum computational resources as low as possible, the client receives the data in the form of a video stream from the 3D world created on the server.…”

Section: Implementing the Virtual Client Generationmentioning

confidence: 99%

Low latency 3D image streaming in medicine

Vincze,

Biricz,

Benhamida

et al. 2023

Syst. Theor. Control Comput. J.

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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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