CloudDICOM: A Large-Scale Online Storage and Sharing System for DICOM Images

Abstract:

Online storage and sharing for large-scale DICOM images becomes increasingly important for medical organizations or large hospitals. This paper presents a distributed architecture based on Hadoop and HBase to support online storage and sharing for DICOM images. An experimental system called CloudDICOM is designed and realized based on this architecture. The paper focuses on designing the architecture, workflow, data schema, and then on analyzing the components in CloudDICOM. Firstly, DICOM messages sent by clients will be received, converted and stored into Hadoop and HBase. Then, these messages will be indexed and generated query and WADO index database. The components of DICOM query and WADO based on this index are implemented to provide online DICOM query and WADO service for clients. The test results demonstrate that CloudDICOM can provide online storage and sharing service for large-scale medical images, and support standard DICOM Query and WADO service.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 2037-2041
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.2037
• Online since: September 2013
• Authors: Li Jun Liu, Qing Song Huang
• Keywords: Computing-Cloud, DICOM, Hadoop, HBase, Online Storage, Sharing, WADO

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