Abstract
With the application of information technology, the scale of various digital image resources is increasing. How to make good use of these digital resources has become a hotspot of hospital management. Because of the use of artificial intelligence technology, the results of automatic recognition and annotation of hospital image resources can be displayed in two-dimensional form. But two-dimensional display, without stereoscopic visual effect, doctors are not easy to observe. In addition, in the real medical environment, it is necessary to combine the virtual information with the real scene, and add some additional information in the real environment to help doctors obtain more useful information. Augmented reality (AR) is a new visualization technology, which can meet the actual business needs mentioned above. In this paper, we focus on brain image, and use PACS as the channel of image acquisition and communication to study the feature extraction of brain image and three-dimensional reconstruction of brain image diseases. Based on the image file, the features of brain image are extracted, and the function module of augmented reality is designed. Unity is used to realize the three-dimensional reconstruction and visualization of brain image features through programming.
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Pang, Y., Jing, X., Zhao, W. (2019). Research and Development of Three-Dimensional Brain Augmented Reality System Based on PACS and Medical Image Characteristics. In: Wang, H., Siuly, S., Zhou, R., Martin-Sanchez, F., Zhang, Y., Huang, Z. (eds) Health Information Science. HIS 2019. Lecture Notes in Computer Science(), vol 11837. Springer, Cham. https://doi.org/10.1007/978-3-030-32962-4_17
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DOI: https://doi.org/10.1007/978-3-030-32962-4_17
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