Design and implementation of a new generation of PACS based on artificial intelligent visualization

Yuanyuan Yang; Siran Ma; Jiecheng Gao; Dezhong Zheng; Yangfan Ni; Yiping Gu; Mingqing Wang; Tonghui Ling; Lixin Zhou

doi:10.1117/12.2548921

2 March 2020 Design and implementation of a new generation of PACS based on artificial intelligent visualization

Yuanyuan Yang, Siran Ma, Jiecheng Gao, Dezhong Zheng, Yangfan Ni, Yiping Gu, Mingqing Wang, Tonghui Ling, Lixin Zhou

Proceedings Volume 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications; 113180S (2020) https://doi.org/10.1117/12.2548921
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

This paper proposed a new generation PACS (Picture Archiving and Communication System) based on artificial intelligent visualization. It is developed from our GRIDPACS (patent number: US8805890), which combined with IHE XDS-I profile, to implement images communication, storage and display. It also uses 3D anatomical visualization model to extract multi-source data from PACS/RIS/HIS/EMR, to express patient disease location, size and severity, which was introduced as Visual Patent (VP) at previous SPIE Medical Imaging (SPIE MI 2018). It can integrate the training model of AI Imaging Diagnosis, to mark the focus and display the disease trends. The system not only has the original PACS functions, but also realizes the man-machine interaction (images and electronic medical record information between radiologist and patient) in a personalized, fast, comprehensive, quantitative and easy-to-understand way. It can be used in various medical institutions, image diagnostic centers, and imaging cloud, to support the healthy development of imaging technology in China.

Citation Download Citation

Yuanyuan Yang, Siran Ma, Jiecheng Gao, Dezhong Zheng, Yangfan Ni, Yiping Gu, Mingqing Wang, Tonghui Ling, and Lixin Zhou "Design and implementation of a new generation of PACS based on artificial intelligent visualization", Proc. SPIE 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 113180S (2 March 2020); https://doi.org/10.1117/12.2548921

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