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MRIdb: An end-to-end data management system for MRI
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Title: | MRIdb: An end-to-end data management system for MRI |
Authors: | Woodbridge, M |
Item Type: | Software / Code |
Abstract: | Clinical picture archiving and communications systems provide convenient, efficient access to digital medical images from multiple modalities but can prove challenging to deploy, configure and use. MRIdb is a self-contained image database, particularly suited to the storage and management of magnetic resonance imaging data sets for population phenotyping. It integrates a mature image archival system with an intuitive web-based user interface that provides visualisation and export functionality. In addition, utilities for auditing, data migration and system monitoring are included in a virtual machine image that is easily deployed with minimal configuration. The result is a freely available turnkey solution, designed to support epidemiological and imaging genetics research. It allows the management of patient data sets in a secure, scalable manner without requiring the installation of any bespoke software on end users’ workstations. Clinical picture archiving and communications systems provide convenient, efficient access to digital medical images from multiple modalities but can prove challenging to deploy, configure and use. MRIdb is a self-contained image database, particularly suited to the storage and management of magnetic resonance imaging data sets for population phenotyping. It integrates a mature image archival system with an intuitive web-based user interface that provides visualisation and export functionality. In addition, utilities for auditing, data migration and system monitoring are included in a virtual machine image that is easily deployed with minimal configuration. The result is a freely available turnkey solution, designed to support epidemiological and imaging genetics research. It allows the management of patient data sets in a secure, scalable manner without requiring the installation of any bespoke software on end users’ workstations. |
Issue Date: | 12-Jun-2014 |
URI: | http://hdl.handle.net/10044/1/79646 |
DOI: | https://dx.doi.org/10.1007/s10278-013-9604-9 |
Keywords: | Java PACS Digital imaging and communications in medicine (DICOM) MR imaging (MRI) |
Appears in Collections: | Faculty of Natural Sciences - Research Data |