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Proceedings Paper

Research and design of three-dimensional brain augmented reality system based on medical image features
Author(s): Wang Zhao; Yan Ren; Yufei Pang; Xin Jing
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Paper Abstract

With the rapid development of information technology and the application of artificial intelligence technology in medical field, the latest computer technology has become a means to improve the level of medical diagnosis. Various medical imaging diagnostic devices, such as CT and MRI, can provide two-dimensional images of human body information. At present, doctors urgently need to accurately determine the spatial position, size, geometric shape of the lesion and the spatial relationship between the lesion and surrounding tissues. Therefore, it is very important to use computer technology to reconstruct human organs and display the lesion area in three-dimensional. At present, the results of automatic recognition and labeling of brain images are displayed in two-dimensional form, so it is necessary to use three-dimensional visualization technology to reconstruct them. In addition, some additional information can be superimposed on brain images for integrated display by combining virtual and real information. Augmented reality is the best technology to achieve the above requirements. This paper studies the process of feature extraction and three-dimensional reconstruction of brain image diseases. Combining with augmented reality business function, using DICOM file and Unity tool, a program of three-dimensional reconstruction and visualization of brain image features is designed to help doctors grasp the spatial information of brain quickly and intuitively.

Paper Details

Date Published: 27 November 2019
PDF: 6 pages
Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 1132111 (27 November 2019);
Show Author Affiliations
Wang Zhao, Wuhan Univ. (China)
Yan Ren, Wuhan Univ. (China)
Yufei Pang, Zhengzhou Univ. of Aeronautics (China)
Xin Jing, Zhengzhou Univ. of Aeronautics (China)


Published in SPIE Proceedings Vol. 11321:
2019 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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