Medical Image Dynamic Collaborative Processing on the Distributed Environment

A new trend in the development of medical image processing systems is to enhance the sharing of medical resources and the collaborative processing of medical specialists.This paper presents an architecture of medical image dynamic collaborative processing on the distributed environment by combining the JAVA,CORBA(Common Object Request and Broker Architecture)and the MAS(Multi-Agents System)collaborative mechanism.The architecture allows medical specialists or applications to share records and communicate with each other on the web by overcoming the shortcut of traditional approach using Common Gateway Interface9CGI)and client/server architecture,and can support the remote heterogeneous systems collaboration.The new approach improves the collaborative processing of medical data and applications and is able to enhance the interoperation among heterogeneous system.Research on the system will help the collaboration and cooperation among medical application systems distributed on the web,thus supply high quality medical service such as diagnosis and therapy to practicing specialists regardless of their actual geographic location.

Medical Image Dynamic Collaborative Processing on the Distributed Environment

A new trend in the development of medical image processing systems is to enhance the shar-ing of medical resources and the collaborative processing of medical specialists. This paper presents an architecture of medical image dynamic collaborative processing on the distributed environment by combining the JAVA, CORBA (Common Object Request and Broker Architecture) and the MAS (Multi-Agents System) collaborative mechanism. The architecture allows medical specialists or applications to share records and cornmunicate with each other on the web by overcoming the shortcut of traditional approach using Common Gateway Interface (CGI) and client/server architecture, and can support the remote heterogeneous systems collaboration. The new approach im-proves the collaborative processing of medical data and applications and is able to enhance the in-teroperation among heterogeneous system. Research on the system will help the collaboration and cooperation among medical application systems distributed on the web, thus supply high quality medical service such as diagnosis and therapy to practicing specialists regardless of their actual geo-graphic location.