Medical image processing using a service oriented Architecture and Distributed Environment
Himadri Nath Moulick, Moumita Ghosh · 2013
The aim of this paper is to present a services based architecture for medical image processing in assisted diagnosis. Service oriented architecture (SOA) improves the reusability and maintainability of distributed systems. In service oriented architectures, the most important element is the service, a resource provided to remote clients via a service contract. We propose a generic model for a service, based on a loosely coupled, message-based communication model. Our service model takes into account the possibility to integrate legacy applications. Specialized image processing services can be dynamically discovered and integrated into client applications or other services. Complex systems can be created with the help of some SOA concepts like Enterprise Service Bus (ESB). DIPE is a distributed environment that provides image processing services over integrated teleradiology services networks. DIPE integrates existing and new image processing software and employs sophisticated execution scheduling mechanisms for the efficient management of computational resources within a distributed environment. It can also be extended to provide various added-value services, such as management and retrieval of image processing software modules, as well as advanced charging procedures based on quality of service. DIPE can be viewed as the natural evolution of the legacy field of medical image processing towards a service over the emergent health care telematics networks.