The PACS concept was introduced in 19821, after more than twenty years of technical advancements;it has become an integrated component of today’s healthcare delivery system.PACS is now in the beginning of being used ...The PACS concept was introduced in 19821, after more than twenty years of technical advancements;it has become an integrated component of today’s healthcare delivery system.PACS is now in the beginning of being used as a clinical research tool.2Among others,this paper describes four PACS-based research activities: medical imaging informatics, medical imaging Data Grid, combining PACS and teleradiology operations, and computer-assisted detection and diagnosis(CAD). In medical imaging informatics (MII), we first introduce its infrastructure and the five layer of software architecture. The description of a new MII training program supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National institutes of Health (NIH), USA is followed. The training program accepts candidates with medical and or biomedical engineering background. The goal is to cross-train multi-disciplinary individuals to be future leaders in the field of medical imaging informatics. Grid computing is a new paradigm combining computing, networking, information and storage technologies to advance the conventional distributing computing to the next level. One resource in Grid Computing is the Data Grid. We describe the use of Data Grid concept in medical imaging applications based on the five layer of the open source Globus toolkit 4 (GT4). Three examples are given. First, a Data Grid specifically designed for PACS image backup and disaster recovery developed at the Imaging and Informatics Laboratory (IPI), USC is illustrated. The second application is for image-based clinical trials using three international sites at IPI, USC, USA; the PACS Lab, Hong Kong Polytechnic University, Hong Kong; and the Heart Institute, Sao Paulo, Brazil In combining PACS and teleradiology operations , a Data Grid model is proposed to combinetwo disjoint ,and yet ,daily used PACS and telera-diology operations as one integrated system in a large-scale enterprise level . Methods of combining workflows ,storage ,and reading of PACS and teleradiology i mages are detailed .The last work-in-progress research is the in-tegration of CAD results with daily PACS workflow. The integration methods are based on DICOMScreen Captured and Structured Report Stan-dards ; and several IHE (Integrating the Healthcare Enterprise) Workflow Profiles .展开更多
文摘The PACS concept was introduced in 19821, after more than twenty years of technical advancements;it has become an integrated component of today’s healthcare delivery system.PACS is now in the beginning of being used as a clinical research tool.2Among others,this paper describes four PACS-based research activities: medical imaging informatics, medical imaging Data Grid, combining PACS and teleradiology operations, and computer-assisted detection and diagnosis(CAD). In medical imaging informatics (MII), we first introduce its infrastructure and the five layer of software architecture. The description of a new MII training program supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National institutes of Health (NIH), USA is followed. The training program accepts candidates with medical and or biomedical engineering background. The goal is to cross-train multi-disciplinary individuals to be future leaders in the field of medical imaging informatics. Grid computing is a new paradigm combining computing, networking, information and storage technologies to advance the conventional distributing computing to the next level. One resource in Grid Computing is the Data Grid. We describe the use of Data Grid concept in medical imaging applications based on the five layer of the open source Globus toolkit 4 (GT4). Three examples are given. First, a Data Grid specifically designed for PACS image backup and disaster recovery developed at the Imaging and Informatics Laboratory (IPI), USC is illustrated. The second application is for image-based clinical trials using three international sites at IPI, USC, USA; the PACS Lab, Hong Kong Polytechnic University, Hong Kong; and the Heart Institute, Sao Paulo, Brazil In combining PACS and teleradiology operations , a Data Grid model is proposed to combinetwo disjoint ,and yet ,daily used PACS and telera-diology operations as one integrated system in a large-scale enterprise level . Methods of combining workflows ,storage ,and reading of PACS and teleradiology i mages are detailed .The last work-in-progress research is the in-tegration of CAD results with daily PACS workflow. The integration methods are based on DICOMScreen Captured and Structured Report Stan-dards ; and several IHE (Integrating the Healthcare Enterprise) Workflow Profiles .
