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EuroPACS 2006

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  • 1. Faculty of Medicine University of Crete, Greece A RIS/PACS system with integrated advanced image processing technology, which is extensible by end-users (in Java or Matlab) Kostas P. Karolemeas1 , Thomas G. Maris2 , A. Karantanas3 , N. Gourtsoyiannis3 1 Evorad – Medical Information Systems, Athens, Greece 2 Medical Physics Department, Faculty of Medicine, University of Crete, Heraklion, Greece 3 Radiology Department, Faculty of Medicine, University of Crete, Heraklion, Greece Kostas P. Karolemeas Research Fellow, University Hospital of Heraklion, Greece Chief Technology Officer, Evorad EuroPACS 2006
  • 2. Faculty of Medicine University of Crete, Greece Case Study End-user extensible image processing technology provided by: applied to: RIS/PACS & Research PACS www.evorad.com Faculty of Medicine University of Crete, Greece University Hospital of Heraklion www.med.uoc.gr www.pagni.gr
  • 3. Faculty of Medicine University of Crete, Greece Previous Status Time consuming image and data transferring between independent workstations In-house developed software required two many steps to complete Lack of algorithm documentation and limited customization in commercial post-processing software Significantly complex image processing for radiologists to apply on a regular basis Remote researchers needed extra software apart from exchanging e-mails and CDs with images
  • 4. Faculty of Medicine University of Crete, Greece Requirements Advanced medical image processing: rapidly implemented or customized by end-users integrated with regular RIS/PACS work-flow for use by radiologists and technologists with batch-processing capabilities for clinical research integrated with external tools for advanced mathematical calculations with data extraction capabilities for further processing (e.g. statistics) with support for geographically dispersed teams with results' attachment to exams
  • 5. Faculty of Medicine University of Crete, Greece Evorad RIS/PACS Visual examination scheduling Full examination work-flow EHR with images and HL7 integration Voice recording and speech recognition for reports Integrated report editor with templates Extensive reporting Full functionality available through the Internet
  • 6. Faculty of Medicine University of Crete, Greece Evorad RIS/PACS Full DICOM integration Extended image manipulation Imports images from other exams for comparison Extensible image processing technology Extensible image importing/exporting technology CD/DVD viewer with full image processing Full functionality available through the Internet
  • 7. Faculty of Medicine University of Crete, Greece Evorad Research PACS Image processing is integrated with RIS/PACS exam work-flow Researchers can test and update their image processing algorithms from within the PACS system and then publish them instantly for use by all authorized local and remote users (through the Internet). Researchers can develop their image processing techniques (called “image processors”) in Java, Matlab or both Remote users can access through the Internet the full functionality available to local users. Operating system independent (supports Windows, Linux, Solaris)
  • 8. Faculty of Medicine University of Crete, Greece Image Processors (Java) “Image Processors”: Written in Java based on templates Are dynamically updated and published to all users Can have parameters Can be chained Have full access to RIS/PACS database Can export / import information / images Can be published in image CDs/DVDs“Image processors” can define parameters to allow the user to configure their execution
  • 9. Faculty of Medicine University of Crete, Greece Image Processors (Matlab) A Matlab session is started from within PACS and image data can be exchanged transparently without external files Transparent PACS integration with Matlab. Export images / image series as 2D / 3D arrays to Matlab Process data in Matlab Import resulting 2D / 3D arrays as images / image series from Matlab Import Figures from Matlab Execute Matlab programs as “Image Processors”
  • 10. Faculty of Medicine University of Crete, Greece Applying Image Processors The results of “Image processor” application can be attached to the examination and become available to other users “Image Processor” application: Images and other data can be exported / imported using customizable algorithms 1. A set of images/image series is selected 2. The required processor is picked from a list 3. Any parameters are set 4. The resulting images are added to the current window
  • 11. Faculty of Medicine University of Crete, Greece Batch Processing A provided “image exporter” accumulates user-specified information (ROI, exam fields) from multiple images to specified spreadsheets. A complex combination of actions such as: creating new series from existing images applying “image processors” exporting / importing images and other information can be recorded, saved under a user-defined name for future reference, and applied to a set of examinations. This can accelerate repetitive procedures especially in clinical research contexts.
  • 12. Faculty of Medicine University of Crete, Greece New Status Streamlining Image Processing In-house developed image processing algorithms have been migrated to “image processors” Integration with Matlab accelerates development work for new techniques All techniques are developed and applied to regular exams even by radiologists within the exams' work-flow “image processor” parameterization capabilities foster the development of versatile algorithms Supporting Collaboration Remote researchers can access examinations and apply “image processors” through the Internet with all functionality available to local users
  • 13. Faculty of Medicine University of Crete, Greece New Status (Cont.) Accelerating Result Extraction Manual image processing and data extraction procedures performed repetitively for clinical research are been replaced by automated sequences of system actions Significant time reductions between image acquisition processing results publication All generated information is now attached to examinations and "projects" Secondary Research PACS Parallel and integrated with central RIS/PACS (could be provided by any vendor) Stores special examinations including phantom studies Allows testing of new image processing techniques before they are validated to be used by radiologists
  • 14. Faculty of Medicine University of Crete, Greece Conclusion Since the implementation of Evorad RIS/PACS (central) and Evorad Research PACS: Researchers can develop and test new image processing techniques at a fraction of the time required before. The incorporation of generated images, measurements and other information in publications has been significantly accelerated. New techniques are validated faster and then become immediately available for application by radiologists on regular examinations. Geographically dispersed team members reduced travelling, eliminated image exchange, and increased their productivity.
  • 15. Faculty of Medicine University of Crete, Greece Thank you for your attention! For further information, contact us: http://www.evorad.com kostas.karolemeas@evorad.com http://www.med.uoc.gr tmaris@med.uoc.gr