TRENCADIS – A Grid Architecture for Creating Virtual Repositories of DICOM Objects in an OGSA-Based Ontological Framework

Blanquer, Ignácio; Hernández, Vicente; Segrelles, Damià

doi:10.1007/11946465_17

Cited by 5 publications

(3 citation statements)

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“…Extending Dicoogle to Peer-to-Peer Scenarios Some authors have already proposed several solutions for searching and sharing medical data in collaborative P2P networks, mostly based on proprietary developed applications ( [19][20][21]) or on grid architectures ( [22][23][24]). Those studies show that research efforts in P2P networks to support medical imaging services are residual and focused on localized issues [20,21].…”

Section: Searching Over Indexesmentioning

confidence: 99%

Dicoogle - an Open Source Peer-to-Peer PACS

et al. 2010

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Picture Archiving and Communication Systems (PACS) have been widely deployed in healthcare institutions, and they now constitute a normal commodity for practitioners. However, its installation, maintenance, and utilization are still a burden due to their heavy structures, typically supported by centralized computational solutions. In this paper, we present Dicoogle, a PACS archive supported by a document-based indexing system and by peer-to-peer (P2P) protocols. Replacing the traditional database storage (RDBMS) by a documental organization permits gathering and indexing data from file-based repositories, which allows searching the archive through free text queries. As a direct result of this strategy, more information can be extracted from medical imaging repositories, which clearly increases flexibility when compared with current query and retrieval DICOM services. The inclusion of P2P features allows PACS internetworking without the need for a central management framework.Moreover, Dicoogle is easy to install, manage, and use, and it maintains full interoperability with standard DICOM services.

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Section: Searching Over Indexesmentioning

confidence: 99%

Dicoogle - an Open Source Peer-to-Peer PACS

et al. 2010

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“…An extended explanation of TRENCADIS architecture and the features associated to it can be found in [19]. As described in figure 1, TRENCADIS comprises three layers organized in five sub-layers.…”

Section: Architecture Layersmentioning

confidence: 99%

Content-based organisation of virtual repositories of DICOM objects

Espert

García

Anastásio

et al. 2009

Future Generation Computer Systems

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The integration of multi-centre medical image data to create knowledge repositories for research and training activities has been an aim targeted since long ago. This paper presents an environment to share, to process and to organise medical imaging data according to a structured framework in which the image reports play a key role. This environment has been validated on a clinical environment, facing problems such as firewalls and security restrictions, in the frame of the CVIMO (Valencian Cyberinfrastructure of Medical Imaging in Oncology) project. The environment uses a middleware called TRENCADIS (Towards a Grid Environment for Processing and Sharing DICOM Objects) that provides users with the management of multiple administrative domains, data encryption and decryption on the fly and semantic indexation of images. Data is structured into four levels: Global data available, virtual federated storages of studies shared across a vertical domain, subsets for projects or experiments on the virtual storages and individual searches on these subsets. This structure of levels gives the needed flexibility for organising authorisation, and hides data that are not relevant for a given experiment. The main components and interactions are shown in the document, outlining the workflows and explaining the different approaches considered, including the protocols used and the difficulties met.

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“…We base this work on a middleware developed by our group namely Towards a Grid Environment to Process and Share DICOM objects [33][34] (TRENCADIS). It provides a knowledge-oriented storage model federating repositories of DICOM image studies and DICOM-SR medical reports.…”

Section: Introductionmentioning

confidence: 99%

Improving knowledge management through the support of image examination and data annotation using DICOM structured reporting

Salavert-Torres

Quilis

Espert

et al. 2012

Journal of Biomedical Informatics

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An important effort has been invested on improving the image diagnosis process in different medical areas using information technologies. The field of medical imaging involves two main data types: medical imaging and reports. Developments based on the DICOM standard have demonstrated to be a convenient and widespread solution among the medical community. The main objective of this work is to design a Web application prototype that will be able to improve diagnosis and follow-on of breast cancer patients. It is based on TRENCADIS middleware, which provides a knowledge-oriented storage model composed by federated repositories of DICOM image studies and DICOM-SR medical reports. The full structure and contents of the diagnosis reports are used as metadata for indexing images. The TRENCADIS infrastructure takes full advantage of Grid technologies by deploying multi-resource grid services that enable multiple views (reports schemes) of the knowledge database. The paper presents a real deployment of such Web application prototype in the Dr. Peset Hospital providing radiologists with a tool to create, store and search diagnostic reports based on breast cancer explorations (mammography, magnetic resonance, ultrasound, pre-surgery biopsy and post-surgery biopsy), improving support for diagnostics decisions. A technical details for use cases (outlining enhanced multi-resource grid services communication and processing steps) and interactions between actors and the deployed prototype are described. As a result, information is more structured, the logic is clearer, network messages have been reduced and, in general, the system is more resistant to failures.

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TRENCADIS – A Grid Architecture for Creating Virtual Repositories of DICOM Objects in an OGSA-Based Ontological Framework

Cited by 5 publications

References 1 publication

Dicoogle - an Open Source Peer-to-Peer PACS

Dicoogle - an Open Source Peer-to-Peer PACS

Content-based organisation of virtual repositories of DICOM objects

Improving knowledge management through the support of image examination and data annotation using DICOM structured reporting

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