Security of distributed processing of medical image data using JINI technology.
Health Care Organizations (HCOs) are highly computerized using broadband networks for data communication within and outside of their departments. However their computer resources are usually task oriented, and not effectively used. Already introduced and new standards for e-Health (e.g. DICOM, TC251-standards) offer workflow management models to organize different resources towards a one, complex task. Distributed processing can be used to implement such models. Similarly, computational resources can be used for any complicated problem-solving task inside a HCO department, between HCO departments and between HCOs. In this article the security analysis of Jini-based computational grids and cost of safeguards introduction is presented. The Jini-based GRID was analyzed in two medical parametric imaging tasks: active, dynamic infrared imaging and dynamic susceptibility contrast imaging (DSC-MRI).
Ruminski
Jacek
J
Department of Biomedical Engineering, Gdansk University of Technology, Narutowicza 11/12, 80-952 Gdansk, Poland. jwr@biomed.eti.pg.gda.pl
D000465:Algorithms; D016494:Computer Security; D004282:Documentation / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D016347:Medical Records Systems, Computerized; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity