3D Visualization in Digital Medicine Using XR Technology

Author:

Vincze Miklos1,Molnar Bela2,Kozlovszky Miklos34

Affiliation:

1. BioTech Research Center, Óbuda University, 1034 Budapest, Hungary

2. Image Analysis Department, 3DHISTECH Ltd., 1141 Budapest, Hungary

3. Medical Device Research Group, LPDS, Institute for Computer Science and Control, Hungarian Academy of Sciences (SZTAKI), 1111 Budapest, Hungary

4. John von Neumann Faculty of Informatics, Óbuda University, 1034 Budapest, Hungary

Abstract

Nowadays, virtual reality is a new and rapidly developing technology that provides the opportunity for a new, more immersive form of data visualization. Evaluating digitized pathological serial sections and establishing the appropriate diagnosis is one of the key task of the pathologist in the daily work. The type of tools used by pathologists in the evaluation of samples has not changed much in recent decades. On the other hand, the amount of information required to establish an accurate diagnosis has been significantly increased. Nowadays, pathologists are working with the help of multiple high-resolution desktop monitors. Instead of the large screens, the use of virtual reality can serve as an alternative solution, which provides virtualized working space for pathologists during routine sample evaluation. In our research, we defined a new immersive working environment for pathologists. In our proposed solution we visualize several type of digitized medical image data with the corresponding meta data in 3D, and we also defined virtualized functions that support the evaluation process. The main aim of this paper is to present the new possibilities provided by 3D visualization and virtual reality in digital pathology. The paper presents a new virtual reality-based examination environment, as well as software functionalities that are essential for 3D pathological tissue evaluation.

Funder

Innovációs szolgáltató bázis létrehozása diagnosztikai, terápiás és kutatási célú kiberorvosi rendszerek fejlesztésére

National Research, Development and Innovation Fund

Publisher

MDPI AG

Subject

Computer Networks and Communications

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Wearable Sensors for Motion and Electrophysiological Signal Tracking in XR;Korean Journal of Chemical Engineering;2024-07-20

2. Securing Real-Time 3D Video Streaming in Digital Pathology - Challenges and Recommendations;2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES);2024-07-17

3. Implemented University Practical Course for 5G Stand Alone System with Augmented Reality;2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI);2024-05-23

4. Real-Time Network Video Data Streaming in Digital Medicine;Computers;2023-11-14

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