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DICOM Image Communication in Globus-Based Medical Grids. Michal Vossberg, Thomas Tolxdorff, Associate Member, IEEE, and Dagmar Krefting. Ting-Wei, Chen. 1. Outline. Introduction Related Work Methods Results and Discussion Conclusion and Future Work. 2. Introduction (cont.).
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DICOM Image Communication in Globus-Based Medical Grids Michal Vossberg, Thomas Tolxdorff, Associate Member, IEEE, and Dagmar Krefting Ting-Wei, Chen 1
Outline • Introduction • Related Work • Methods • Results and Discussion • Conclusion and Future Work 2
Introduction (cont.) • Grid environment (Medical grid) • Secure • Reliable • Highly efficient data transport • Grid Middleware • Globus toolkit • Lack the integration the world-wide medical image communication standard Digital Imaging and Communication in Medicine (DICOM) 3
Introduction (cont.) • DICOM’s Advantage: • Interoperability • Asynchronous communication • Integrity • From the DICOM protocol to the FTP protocol’s Disadvantage: • Reduce most of the advantages and security an integrated network of DICOM devices offers 4
Introduction (cont.) • Problem • Incompatible between the different imaging devices • Solution • Adapts the DICOM protocol to the Globus grid security infrastructure 5
Introduction (cont.) • Standardization • Ensure compatible • Correct representation • Imaging equipment of the different vendors • Expect • Healthcare business • The way the various healthcare actors interact with one another
Introduction (cont.) • Medical grid projects • European Enabling Grids for E-Science in Europe (EGEE) • U.S. cancer network caBIG • MediGRID 7
Related Work (cont.) • Toolkit’s common security infrastructure • Encryption and integrity verification of the data • Authentication user or host • Authorization based on the host 8
Related Work (cont.) • Globus components • Grid Security Interface (GSI) • Grid File Transfer Protocol (Grid-FTP) • Grid Services and HTTP • DICOM Grid Interface Service (DGIS) • Medical Data Manager (MDM) • Others: Storage Resource Broker (SRB) 9
Methods (cont.) • Grid-DICOM • Upper layer messaging protocol for message and data exchange • Allow secure communication through an encrypted transport protocol TLS/SSL • Use a Java implementation of the DICOM standard • Dcm4che2 toolkit 10
Methods (cont.) • Grid-DICOM Router • Act a proxy and translates between the plain and the grid protocol • Service class • Verification: Forward a C-ECHO message • Storage: Forward C-STORE • Query: Forward C-FIND • Retrieve: Forward C-GET and C-MOVE 12
Methods (cont.) • Keep router mostly independent of the architecture of the hosting system • Design the application according to the Java Management Extensions specification • JBoss JMX • Implicit clustering capabilities improve the scalability and fault tolerance of the router application 14
Methods (cont.) • A number of design optimization improve the performance and stability • Optimal thread reuse and performance scalability • Minimize the initial handshaking • All incoming DICOM messages are processed in buffered memory blocks 15
Methods (cont.) • Test Scenarios • Have been tested in a partial environment of the MediGRID test bed • The security level • Full transport level encryption • Mutual user/host certification • Authorization against the gridmap file • Full delegation support of credentials 17
Methods (cont.) • Three typical scenarios based on the grid image processing applications • Scenario 1: Distribution • Scenario 2: Storage • Scenario 3: Moving 18
Methods (cont.) • Scenario 1: Distribution. A user distributes images from a modality. • a) Conventional DICOM transfer • b) Encrypted DICOM Transfer • c) GSI-based transfer • d) GSI-based transfer through a router • e) The DGIS imaging solution of the Globus incubator project MEDICUS 19
Methods (cont.) • Scenario 2: Storage. A user sends images from an imaging device to an off-site image archive (C-STORE) 21
Methods (cont.) • Scenario 3: Moving. A user requests the off-site image archive to move images to a different archive 22
Methods (cont.) • Three different set: • One Magnetic resonance (MR) • 5 series of 100 images each (512*512, 16 bit, total 250MB) • One Computed tomography (CT) • 50 series of 10 images each (512*512, 16 bit, total 250MB) • Ten Computed radiology (CR) chest image • 10 series of 1 image each (2140*1760, 16 bit, total approx. 800MB) 23
Results and Discussion (cont.) Transfer Rates of Scenario 1-3 In MB/s 24
Results and Discussion (cont.) • DICOM throughput increases with a lower number of single images (CR > CT = MR) • The transfer rate decreases when engaging the TLS 3des encryption • Engaging the Grid-DICOM transfer results in an almost equal, if not slightly lower transfer rate than plain encryption 25
Results and Discussion (cont.) • Connecting devices through a router further reduces the transfer rate through the additional message processing costs, depending on the number of images transferred • The router solution performs in the same range as the DGIS 26
Conclusion and Future Work (cont.) • Proposed a solution to integrate legacy DICOM-capable system • Developed an adaptation of the DICOM protocol stack to the GSI 27
Conclusion and Future Work (cont.) • Employed a system of routers that transparently convert any traffic from pure DICOM protocol • Show the setup is a promising solution for grids based on the Globus middleware 28
Conclusion and Future Work (cont.) • Future work • Replace the command line clients by a user interface • Improve the router software in terms of stability and transaction ratio 29
Conclusion and Future Work (cont.) • Add modification chains for the DICOM data when passing the routers • Enhance the system by a Web service for a reliable DICOM transfer 30