数字医学中的实时网络视频数据流

IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers Pub Date : 2023-11-14 DOI:10.3390/computers12110234
Miklós Vincze, B. Molnár, Miklós Kozlovszky
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引用次数: 0

摘要

如今,数字医学在医学领域的应用越来越普遍。利用数字医学,可以通过计算机算法共享、处理和可视化健康数据。数字医学目前面临的问题之一是大量数据的快速传输和适当的可视化,甚至是三维可视化。技术的进步为使用新的图像处理、网络和可视化解决方案评估医疗样本提供了可能。由于样本分辨率的原因,样本的分析、处理和共享往往需要很长时间。三维可视化也不例外。为了能够以高分辨率显示数字化的三维医学样本,需要一台计算能力强大的计算机,而医生和研究人员并不一定具备这种能力。COVID-19 表明,即使参与者之间存在物理距离,日常工作也必须继续进行。实时网络流可以提供一个解决方案,即创建一个可在医生/研究人员之间共享的三维环境,在该环境中可以直观地看到正在检查的样本。为了让每个人都能使用这种三维环境,它还必须能在计算能力不高的设备上使用。我们的目标是设计一种通用解决方案,让用户能够以三维方式可视化大量医学成像数据,而无需考虑所使用设备的计算能力。通过本文介绍的解决方案,我们的目标是为医生和研究人员创建一个三维环境,以跨学科的方式合作评估三维医学样本。
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Real-Time Network Video Data Streaming in Digital Medicine
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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来源期刊
Computers
Computers COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.40
自引率
3.60%
发文量
153
审稿时长
11 weeks
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