Description
In medical organizations, there is a growing demand for archiving, federating and analyzing medical image databases which are geographically distributed. The medical imaging sector covers all aspects related to computerized medical images analysis including medical images management, medical images post-processsing, medical images simulation and image-based therapy planning. The EGEE infrastructure helps addressing data distribution and compute intensive problems such as medical data stores federation, secure data access, large databases concurrent analysis, complex analysis procedures set up and imaging physics simulation.
This medical imaging session will report on current advances in medical data management, intensive image analysis pipelines and interface to medical organizations using the EGEE grid. The first talk addresses the problem of secured and structured medical reports management on the grid. Another talk provides insights on a middleware to interface existing neurosciences resources with the grid infrastructure. A third presentation is related to a data intensive cardiac sequences analysis pipeline enactment on the EGEE grid. Finally, a work on provisioning services for clinical support will be presented.
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Dr Ignacio Blanquer Espert (UPV-ITACA)04/03/2009, 14:00Planned or on-going scientific work using the gridOralThe medical imaging community uses DICOM to share and exchange data. Part of this standard is the DICOM Structured Report (DICOM-SR). DICOM-SR proposes a standard way to code and structure radiology reports. This work integrates DICOM-SR among multi-centre data storages to create knowledge repositories for research and training. DICOM-SR data are organised according to templates in AMGA. This...Go to contribution page
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Dr Tristan Glatard (CREATIS / CNRS)04/03/2009, 14:20Grid Services exploiting and extending gLite middlewareOralCardiovascular diseases are one of the major cause of mortality in industrialized countries. There is a thorough research effort to analyze and diagnose diseases of the heart from large volume temporal acquisitions of 3D images capturing the heart cycle. Diagnosis is assisted by the extraction of quantitative parameters such as ventricular Ejection Fraction (EF) measuring the accuracy of the...Go to contribution page
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Mr Alban Gaignard (I3S / CNRS)04/03/2009, 14:40End-user environments and portal technologiesOralComputational neurosciences are brain image-based experimental sciences requiring the recruitment of large populations data sets and the set up of complex analysis pipelines. The grid provides a computing infrastructure adapted to face many computational neurosciences challenges. However, processing medical data in an open, wide scale environment creates new issues for the neurologists. In...Go to contribution page
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Dr Lydia Maigne (Laboratoire de Physique Corpusculaire CNRS/IN2P3)04/03/2009, 15:00End-user environments and portal technologiesOralNew opportunities offered by the EGEE infrastructure can be exploited to offer radiotherapists and medical physicists new telemedicine services and dosimetric calculations in order to improve their collaboration capabilities. The HOPE portal gives them an easy-to-use telemedicine environment to manage and share patient information between remote locations and the capability to use patient...Go to contribution page